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News, Tutorials, Reviews, and How-Tos related to Embedded Linux and Android, Arduino, ESP8266, Development Boards, TV Boxes, Mini PCs, etc..
I’ve already listed specs, and shown a few pictures of Kingnovel K-R68 (R6) Android media player based on the latest Rockchip RK3288 quad core processor. The status bar is shown by default with a power (Standby or Reboot) button, volume buttons, the back, home, and app list icons, as well as an icon to hide the status bar. Google Play Store works as expected, and I could install most apps such as ES File Explorer, MX Player, Antutu, Quadrant, Beach Buggy Blitz, etc…  and even paid apps such as Sixaxis Controller installed properly. I haven’t used the remote control, but the power button on the status bar only lets you reboot and put the device into standby.
XBMC – OK most of the time, but skips about 60 frames at the end of the video (The image will freeze before the end of the video). Links to various video samples used in this review and be found in “Where to get video, audio and images samples” post and comments.
The network test consists in transferring a 278 MB file between a SAMBA share and the internal flash, and vice versa, repeating the test three times using ES File Explorer. As mentioned previously, I had stability problems (again) with Gigabit Ethernet, so I could only properly test Fast Ethernet performance.
This test is not a pure network performance test, as it may be affected by storage write performance. Under Linux, you can test network performance with iPerf, and it turns out iPerf app is also available for Android.
I could easily pair K-R68 to my Android smartphone (ThL W200) over Bluetooth, and transfer a picture. Vidonn X5 activity tracker suppoert Bluetooth 4.0 LE, so I installed the Android app, and successfully connected to my wristband to get the data. I’ve also connected my USB 3.0 hard drive with NTFS, EXT-4, FAT32, and BTRFS partitions, and as usual only NTFS and FAT32 could be mounted automatically.
The internal storage read and write speeds are very important to apps loading time, and overall system performance, and K-R68 excels in this benchmark, at least compared to Uyesee G1H, and Probox2 EX.
The fast eMMC write speed explains why I never felt slowdowns during my testing, contrary to what happened with G1H.
Google Hangouts could detect the webcam (Video icon at the top right of the screen), and I could start a video call, but the webcam image was not shown. I played Candy Crush Saga with my air mouse, and used Tronsmart Mars G01 wireless gamepad in the two other games.  Beach Buggy Blitz was super smooth even with graphics settings maxed out and 1080p resolution, and Riptide GP2 was very smooth most of the time, and albeit not perfect, RK3288 devices are a massive jump in terms of playability compared to earlier generation of chip, and even Amlogic S802. I had no luck with Quadrant, as I was greeted with gray screen when I wanted to start the test. I’ve run Ice Storm Extreme test in 3DMark to see if there was any improvement compared to G1H score.
A score of 7,531 points, is only slightly higher than than 7,278 points achieved by G1H, and is about the same as the one achieved on a smartphone based on Qualcomm Snapdragon 801. Kingnovel K-R68 hardware has massive potential with a fast processor, outstanding 3D performance, and excellent Wi-Fi and eMMC storage performance.
Video Output – 1080p support 24, 25 ,30 , 50 and 60 Hz output which may be important for some videos. The enclosure (bottom) can get pretty hot, with temperatures over 75+ C after long periods of 3D gaming. Video output – Component only output the Luminance signal with my TV, composite (NTSC) has a green bar at the bottom, no problem for PAL. If you are a distributor, you may want to visit Kingnovel K-R68 page for some details, and possibly contact the company. Tweet I’ve already listed specs, and shown a few pictures of Kingnovel K-R68 (R6) Android media player based on the latest Rockchip RK3288 quad core processor. Tested with 2.4Ghz, I have ordered a new router on Aliexpress that supports 5GHz (including ac), so I should be able to test it in a few weeks.
Many manufacturers are wrong about this, so if you want a device with 802.11ac, make sure it comes with AP6335 module. The Department of Computer Science hosts the world-famous computer scientist and inventor of Genetic Algorithms (GA's), Dr.
Genalytics Model 6.0 transforms large amounts of transaction data into predictive intelligence and uses genetic algorithms to automatically search and identify key combinations of time series variables found in any dataset.
Starting today, past and present IlliGAL lab members and affiliates will team up to blog on genetic algorithms, evolutionary computation, and related subjects. GECCO, I was re-reading Sam Mahfoud's paper titled "population sizing for Sharing methods". Since niching mechanism is one of the key components of hierarchical and multiobjective genetic algorithms, the population-sizing paper deserves renewed attention.
Over a number of years, I've followed research in iGAs and some time ago, I started to collect information about market research and product development with the idea of founding a company to do just that using interactive GA technology. Scalable Parallel Random Number Generators Library (SPRNG): An RNG library that combines various available random number generators and supports both serial and parallel platforms. Mersenne Twister (MT): An RNG which has a period of 2^19937-1 with an assured 623-dimensional equidistribution property (Thanks to Jaume for pointing me to MT). Experiments showed that a lower mixing rate increases both the population size needed and the convergence time.
Business Week article gives an overview of BBN's Boomerang project now fielded in Iraq to protect Allied troops by detecting and locating sniper fire.
This story is fine as far as it goes, but as GA afficianadoes well know, the BBN effort was supported by a crack team of card-carrying genetic algorithmists. This year's Genetic and Evolutionary Computation Conference (GECCO-2005) is 25-29 June 2005 in Washington DC. Those with artistic or creative talent should try their skills at designing the new SIGEVO logo as the competition ends February 7th.
Martin Pelikan's book titled "Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms" is now available.
More details regarding hBOA and to download the software visit the hBOA page and Martin's webpage. Lately, I have moved from WEKA to D2K, a data mining framework developed by the Automated Learning Group at the National Center for Supercomputing Applications.
We all know that computational complexity of GAs depends primarily on the population size and the number of generations.
What I like on using the bisection method is that all parameter tweaking will be done automatically (and thus I don't have to do it myself), because the remaining GA parameters do not influence time complexity as much (mostly by some constant factor and that's not so important when we talk about asymptotic upper bounds).
Of course, the above thinking is correct only if larger populations lead to better solutions (given enough generations we should all be able to believe this fact) and if smaller populations do not significantly increase the number of generations (in all cases I studied, any sufficiently large population size lead to about the same number of generations, as can be expected for many variants of evolutionary algorithms based primarily on recombination).
Technology Review article also highlights the history of evolutionary computation a€“ briefly mentioning the work of Holland, Goldberg, Koza, and others.
Theory and Applications of Efficient Multi-Objective Evolutionary Algorithms (CS, Feng Chia University, 2004) was ranked number one among all CS dissertations in a national competition held under the auspices of the Institute of Information & Computing Machinery (IICM). Oregon Daily Emerald reports that James Bean, noted operations researcher, genetic algorithmist, and inventor of the random keys technique for permutation and other combinatorial problems, is using genetic algorithms to help develop sustainable automobile technology in his new role as Dean of the Lundquist College of Business. The usage of EDAs can help addressing two major issues in XCS: (1) knowledge extraction and (2) structure identification. Toronto Globe and Mail reports that researchers at Laurentian University are using genetic algorithms to schedule mining of ore deposits.
Science Daily posts a University of Michigan press release entitled Falling Prey to Machines?
According to Holland, the problem with developing artificial intelligence through things like genetic algorithms is that researchers don't yet understand how to define what computer programs should be evolving toward.
According to Holland, advances in software have not kept pace with the exponential improvements in hardware processing power, and there are many artificial intelligence problems that cannot be solved by simply performing more calculations. Acovea (analysis of compiler options via evolutionary algorithm) is an open source project which utilizes GAs to tune the optimization flags for GCC to yield the fastest code specifically for your computer. Another reason for the current situation is that human lifespans are no longer a good match to the turnover in intellectual ideas. So, it is in this sense, that the acceptance of SIGEVO by ACM couldn't come at a better time, and should be seen as a very positive thing. Of course, department heads when asked about tenure and promotion will tell you that each case is special and is scrutinized without regard for brand names.


It will take some time to know the overall effect, and indeed, joining a large bureaucratic organization like ACM will come with its share of constraints and costs.
Sam Williams's recent article "Unnatural Selection" in Technology Review is getting some blog traction. Another script I use very often is a perl wrapper for gnuplot, the plotting program from the GNU project. This script receives as parameters a variable-length number of data files to overlap in the same plot. Don't forget, the new motherboards and processors drain a lot of power, so you need about 1.5 Amps per node.
ATA Engineering announced the release of version 1.0 of the Attune package for test-analysis correlation and model updating.
In beta testing, a key aerospace customer used Attune to carry out hundreds of real-time correlation iterations during modal testing of a launch vehicle payload, whereas prior to this they were limited to less than a dozen manual correlations a week.
Additional information is available from the Attune product website or the full press release. Finally, a third way of approaching animation synthesis was presented by Torsten Reil, from Natural Motion. However, by abstracting the proposed optimizations on large but abstracted code with a proprietary representation, and then projecting execution time based on resource utilization and resulting code classifications for fitness, their system was able to find speedups in a just a couple of hours with only a 2% drop in speedup from that work using actual execution times. John Holland's course, Introduction to Adaptive Systems, wondering what all the genetics stuff had to do with adaptive systems. That experience on my thesis left me with a thirst to better understand genetic algorithms, how they work, and how to make them work better.
My 2002 book, The Design of Innovation, tells the long version of this story, but the basic idea of little modeling is to construct models for various effects in isolation (selection alone, crossover alone, mutation alone), and use dimensional analysis to create models for complex phenomena from pairs of simpler models.
More recently, Ali Yassine, Tian-Li Yu, and I have carried the little modeling approach over to organizational theory here. Tanto los jugadores novatos como los veteranos disfrutarn buenos momentos mientras aprenden, practican y mejoran sus habilidades para jugar tragamonedas antes de jugar en los sitios de los casinos por dinero real.
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I had no such problem in PAL mode.  I had the same problem with Component (YPbpr) output as with my other RK3288 device, as only the Chrominance signal would apparently be displayed. A single partition for apps and data would be ideal, but this partitioning should work fine for most people.
So I played videos from a SAMBA share over Ethernet using XBMC, only switching to MX Player in case of issues. Using the same test procedure as Wi-Fi, K-R68 shows very good performance compared to other solutions I’ve tested. Having said that, I’ve experience similar results writing to flash or USB hard drive for all devices under test.
I could test audio successfully with the Echo service in Skype, and I could see the video, but as I tried to leave a video message, the app exited.
I’ve also tested stability by playing Riptide GP2 for 30 consecutive minutes, and everything runs fine, but the bottom of the device can get pretty hot (Over 75 °C). Since them Android 5 has been released, and K-R68 got 37,428 points between Redmi Note (MediaTek MT6592) and Xiaomi Mi3 (Qualcomm Snapdragon 800). However many recent devices based on Qualcomm 800 and greater get a score above 10,000 or simply maxes out the test. The firmware is stable and provides a smooth experience, but if you are looking for a device well supported by XBMC, it’s not there yet.
The box does not seem to be selling on e-retailer sites yet, or it’s sold under another model name. By studying time series patterns, organizations can identify credit risks, anticipate customer attrition, and detect probable bankruptcies.
In April 1994, a graduate student named Kate Sherwood (Ducky) put up the first IlliGAL web page.
In the last American election cycle, blogging grew as a force to rival the mainstream media. The population-sizing estimate though derived for fitness sharing, also holds for other niching methods such as restricted tournament selection as well. Ever since Dawkins famous Blind Watchmaker code, and Caldwell and Johnston's Faceprints work at ICGA 91, the idea of having user-driven subjective functions in place of predetermined objective functions has opened the door to evolving art, music, poetry, and more. My dreams of a great startup were dashed one semester when during my genetic algorithms course, some students researching their class project uncovered a company that was already vigorously pursuing interactive GAs in marketing applications. A simple idea such as a round robin of small disjoint training sets greatly helps Pittsburgh classifier systems in the quest for generality.
Not only is the math difficult, but the system also had to work in the cacophony of urban warfare, including echoes from shots -- and do it on the move.
An article written by BBNers Hussain, Montana, Brinn & Cerys entitled Genetic algorithms for UGV navigation, sniper fire localization, and unit of action fuel distribution was presented last June at GECCO 2004 at the Workshop on Military and Security Applications of Evolutionary Computation (MSAEC-2004).
In his book, Martin presents a principled method for designing and analyzing scalable genetic algorithms that can solve boundedly-difficult, hierarchically-decomposable problems in polynomial (usually sub-quadratic) time. I know Martin and Jaume have also been using some of this tools too in their data mining related papers. LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ).
Given that we know the optimum, the number of generations can be determined by the GA itself---when the GA finds the optimum or the entire population converges to it (or gets close enough), we've got it.
The basic idea is to first determine a reasonable initial interval (min,max) of population sizes where min is too small and max is too large. To eliminate noise, the bisection can be run several times and the results of all bisection runs can be averaged (right now I use 10 rounds of bisection, each with 10 runs). To determine whether or not the second condition is at least partially satisfied, one can try one problem size (rather larger than smaller) and test whether the overall complexity decreases for larger populations than the one determined by the bisection.
From jet engine fan blade design to minimizing power consumption of long-distance pipelines, the article cites several applications of genetic algorithms and genetic programming. Recently, such approaches are slowly infiltrating in the learning classifier systems world. Knowledge extraction addresses the issue of mining problem knowledge from the final solution developed by XCS. He told me that the problematic GA runs would converge to a mediocre solutions, but different parts within those solution were of good quality. Thesis Symmetry in the Representation of an Optimization Problem and related papers, available as IlliGAL technical reports 2001020 and 2001030 are a good starting point for anyone interested in knowing more about symmetry and synchronization problems in optimization in general, and GAs in particular.
While hardware performance continues to double almost every year and a half, the doubling time for software performance is at least 20 years. I've been heavily involved in the process of this transformation, and so my views are not entirely unbiased (no one's views are entirely unbiased or so any good postmodernist would claim), but I think this move is good for ISGEC, good for ACM, good for the field of genetic and evolutionary computation, and good for computer science. First wave evolutionary computation researchers (and cyberneticists of all stripes) in the late 50s and 60s were just getting their sea legs under them when Minsky and Papert's premature and misleading hatchet job on neural networks appeared and took the wind out of cybernetic sails generally. With GECCO as an ACM conference proceedings, young faculty can safely put their work there without endlessly defending their choice. Department heads have told me that the decision to move from ISGEC to SIGEVO will make absolutely no difference to them.
But, in the end, I believe the young people in the PhD pipeline will benefit immensely through higher probability of hiring, better chances to tenure, and improved prospects of funding as the once outlaw field of genetic algorithms and evolutionary computation comes in off the range, hangs up its six-shooter, and becomes a law-abiding denizen of the mainstream of computer science.
I have used it extensively to compute statistical tests, and I made a script to automatize most of the testing process. It uses the Bonferroni correction to ajust the significance level of the tests for the multiple comparisons.
The script generates draft plots just to check how do the results look, without the overhead of launching other programs that can generate more fancy plots like Matlab.
We mostly use the cluster to run multiple GA runs to collect statistics, and also for testing the effect of different parameters on the scalability of the algorithms (For example, see Martin's blog). That means they produce a lot of heat, but nothing that a few well placed fans and couple of ACs can't fix. He tackled the problem by using a set of controllers and running it through a set of genetic algorithms to develop the motion he wanted out of them.
This still gave an overall 10-20% speedup when the found choice of optimizations were applied. Shortly thereafter, I proposed applying genetic algorithms to gas pipeline optimization and rule learning, did so, and went on to take my first teaching job at the University of Alabama.
And that thirst led me to try difference equations, Markov chains, transform methods, anything that I could get my hands on, to help me do a better job in GA analysis and design. For example, we might create a model for convergence time under selection alone, combine this with a model for mixing under crossover alone, and consider the pairwise effect as a dimensionless ratio of the two times. The user interface defaults to Chinese as shown in the screenshot above, so I had to go to the settings to change the language. I also installed Amazon AppStore after downloading it via the stock browser, and loaded Riptide GP2 on the device. The power button on top of the device can only be used to power off the device completely, and to do so, you’ll need to press it for 10 seconds. Thanks to fast eMMC, apps loading times can be impressive, for example XBMC loads in less than 2 seconds, and I never had slowdowns as experience in Uyesee G1H while installing apps. His talk on Complex Adaptive Systems (CAS) will discuss the study of complexity, innovation, and relations between CAS and GA's.
To my discredit, I didn't understand why she was so fascinated by the web, but in my defense, I didn't get in her way.


In less well followed topics, blogging is growing at astonishing rates, and we hope that IlliGAL Blogging will become a resource and focal point for intelligent discourse in the growing community of genetic and evolutionary computation (GEC). Of course, a lot of water has passed over the iGA dam since the early days, and for those interested in a fairly recent update on the state of interactive evolutionary computation, I recommend Hideyuki Takagi's article.
That company, Affinova, has married iGAs and practical market research and product development notions to create a unique line of products and services. On the Michigan approach, however, such issue was settled down after the idea of evolving classifiers based on accuracy by Wilson (now celebrating the 10th anniversary of its publication). The paper details the development of Boomerang and other GA-based military-security applications. Written in Java, it is easy to use, providing a flexible environment for rapid preliminary filtering and analysis of raw data.
The thing I like the most about D2K, and one of the reasons for switching, is the data flow oriented paradigm that it uses. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues.
Most likely, the complexity increases with the population size and thus the bisection can run the experiments for us.
Chen takes the methodology of The Design of Innovation and applies it to understanding the approximate complexity of multiobjective evolutionary algorithms (MOEAs). The goal is to identify most important features in the problem and the dependencies among those features. I remembered Clarissa's worka€”that she did during her visit to IlliGALa€”about how strong symmteries in problems such as Ising and other spin-glass models can cause synchorinization problems and how niching methods can be used to avoid them. Intelligence was just one of many traits that human beings exploited to increase their odds of survival, and the test for survival was absolute. For too long, GAs and EC more generally have lived in the backwaters of academic and industrial life. When he was asked how the acceptance of his revolutionary ideas in quantum physics was going, it is reported that he said, "Wonderful, lots of funerals." In Plank's day, perhaps the natural turnover in faculty matched the turnover of ideas, but in our time, rapid change in thinking has not been matched with a concomitant shortening of faculty life expectancy.
With ACM affiliated journals in EC and GP, department heads have the moral equivalent of a Good Housekeeping seal of approval on our field to rely upon instead of the pleas of a lone faculty member up for tenure. But consumers will tell you that their decisions to buy products are also made on a case-by-case basis without regard for brands--as their grocery baskets fill with Crest, Tide, Mach 3, Ragu, Pepsi, Twinkies, and Tide. It supposes that the results are paired, like the results obtained, for instance, from a stratified ten-fold cross-validation test. Since then, quite a few people have asked me a how to build such a cluster, what components to buy, etc. Although I had succeeded in applying GAs in my problem domain, my doing so left me with as many questions as I answered. At first, my studies took me toward more esoteric and sophisticated tools, but then my training in fluid mechanics kicked (somewhere between my leaving Alabama and coming to Illinois), and I turned to the methodology of little models, including facetwise models, and patchquilt integration using dimensional analysis.
This approach, though algebraically simple, is remarkably powerful in helping sort out experimental results and organize a researcher's thinking.
Before powering up the device, I’ve also connected an HDMI cable, a USB hard drive, and an Ethernet cable. The firmware is not rooted, and I don’t have male to male USB cable, so I could not root it via the OTG port.
The user interface resolution is 1080p by default, but if you want some extra performance for some games for example, you can switch to 720p if you wish. Once XBMC refused to exit, as clicking on the exit button did not work at all, but I could not reproduce the issue. Since then, the IlliGAL web site has grown and users from countries around the world generate some 8.4 million hits in nearly 200,000 visits annually.
Subsequently I met company executive Rob Frasca in another context, and got the chance to tell him how Affinova was the company that broke my entrepreneurial heart. Like supersonic airplanes, bullets create shock waves -- mini-sonic booms -- as they speed through the air. These efforts are the result of longstanding GA work at BBN initiated by Dave Davis (now of NuTech Solutions) and carried on by Dave Montana and other hardworking GA types. Recently, I have notice the existence at least more than 20 different projects using such framework. Using an intuitive graphical editor, complicated analysis and visualization task are rapidly deployed by simple drag & drop. I have been using it in some of my recent research, and if you are interested in such areas, I definitely recommend you to take a look at it. A "good" population size should be the one that ensures reliable convergence to the optimum (where "reliable may be defined any way we want, for instance, that the algorithm finds the optimum successfully in 9 out of 10 independent runs). Thereafter, he successfully applies carefully designed MOEAs to problems in production planning and design of nearest-neighbor classifiers. Bean was on the faculty of the Department of Industrial and Operations Engineering (IOE) of the University of Michigan for many years, where he also held the position of Associate Dean for Academic Affairs. The extracted knowledge may not only be used for further data mining, but may actually be re-fed into the system giving it further competence in solving problems in which dependent features, that is, building blocks, need to be processed effectively.
So, I suggested him that there might be synchronization issues with the problematic instances and using a niching method might be the solution. No mention is made of who the reseachers are or what department, college, or lab they come from. Defining an equivalent test of fitness for targeting intelligence as an evolutionary goal for machines, however, has been elusive.
Finally, the rise of symbolic AI and the subsequent cybernetics winter made it academically disreputable to persist in the "folly" of genetic algorithms and evolutionary computation, but persist the field did, and we are here today because of the courage of a small group who swam against the intellectual currents of the 60s, 70s, and 80s. The result is large numbers of powerful faculty in charge with ideas in mind that are more than a little behind the time. In a busy world, trusted brands allow buyers to get quality products at low risk of error and low search costs.
These optimizations seek to reduce memory or power usage, or to speedup the needed execution time.
And although I had used GAs to help solve interesting engineering problems, I was unhappy with GAs--and my own lack of understanding of GAs--as engineered objects. Albeit there’s a power button, the device will boot automatically as you connect the power adapter, and the boot completes in just over 20 seconds.
The maximum temperatures measured with an infrared thermometer on the top and bottom of the box were respectively 46 °C and 56 °C after running Android 5 benchmark, and after playing Riptide GP2 for 30 minutes at 1080p (right after playing a 1080p movie for 2 hours), the measured max. Overall, the XBMC experience is disappointing, but if you combine MX Player and XBMC capabilities most videos can be played.
The website has undergone kaizen or continual improvement since Ducky's early efforts, and this blog represents the latest in a series of new features to be added to the site over the years.
For those interested in a nice case study of marrying GAs and business read the Affinova white paper here.
So if engineers arrange seven microphones like the spines of a sea urchin, a shock wave from a bullet will hit each microphone at a slightly different time, like a wave lapping against different pebbles on a beach. It is difficult enough working in the obscure vineyards of GAs and EC, but when a group used to toiling in obscurity does something deserving of national recognition, it would be nice if the mainstream business press would get the story right and at least mention the names of the people who really got the job done.
I have been heavily using D2K in the DISCUS project, and I have no regrets about not using WEKA anymore. Herb Simon talks about decomposability of most complex real-world systems, which is a feature that a good evolutionary algorithm should be able to exploit.
The dissertation concludes with novel theory and empirical work that carry over the method of fitness inheritance to MOEAs. Lo and behold, he came back yesterday and said using niching significantly improved the GA performance! Nonetheless, a Google search on the search terms, "genetic algorithms," "mining," and "Laurentian University" quickly leads to the following link. Thus, it is difficult to draw comparisons between how human intelligence developed and how artificial intelligence could evolve.
After all, evolution is one of the biggest ideas in all of science, and the impact of modern genetics is hard to overstate, so it seems quite natural that computations based on evolution and genetics should have an important place in science and technology. Unfortunately, the most obvious solutions to this problem are serious felonies, and no one is here suggesting that steps be taken to cull the herd. In the new world of ACM and SIGEVO, CS departments and their heads will be able to rely on a trusted brand in one of the most important decisions they make, the hiring, retention, and promotion of faculty.
Her system tries to determine which combinations and orderings of optimizations should be performed on which portions of the code.
4K options should also show if the box is connected to  4K TV, Most of the tests have been done using HDMI output, but I also tested composite and component (YPbPr) video outputs. Only good words is what I have about D2K's quality and how much effort the ALG people put into it to make a great package easy to extend and customize.
I'd strongly suggest this book to anyone interested in somewhat a philosphical discussion of what types of problems we should be trying to solve with our optimizers. The Laurentian University Mining Automation Laboratory (LUMAL) under the direction of Nick Vayenas is applying simulation, robotics, and genetic algorithms to various mining problems. Why, then, have GAmists and ECers been largely relegated to second tier schools, non-tenured posts, or non-CS departments (even, god forbid, engineering departments)? And thanks to Srikant-Uni-of-Glasgow-Travails and SoloGen for the links to IlliGAL Blogging. We can pray for crisper reporting from the the Globe and Mail, but in the meanwhile, odds are that this is the GA mining work that was so cryptically cited. Work in this area traditionally relies on actual execution time for fitness, which may require up to 50 hours to determine which optimizations should be performed on a small piece of code.



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