Illinois Genetic Algorithms Laboratory

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Estimation of distribution algorithms (EDAs)—also known as probabilistic model-building genetic algorithms (PMBGAs) and iterated density estimation algorithms (IDEAs)—are population-based optimization methods that use probabilistic modeling to guide the search for the optimum. In other words, we may say that EDAs replace standard variation operators of genetic and evolutionary algorithms by building and sampling a probabilistic […]

Jon McCormack has samples of his work on GEC-based art on his web page. Those who have looked at the first issues of SIGEVOlution (ACM SIGEVO newsletter) may notice that Jon was the one who supplied artwork for the cover.
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IlliGAL Blogging reader and blogger Harold Skolnick (AKA www.physics-envy.blogspot.com) writes to show us some of his genetic algorithm art (see here). Also check out his photos (also here and here), drawings, paintings, and his blog.
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MEDAL gathering on evolutionary computation is now over. I think that the speaker lineup was great, and the speakers have done an excellent job at presenting their recent results and new ideas; we should soon have PDFs of most presentations online at the event’s web site. I was happy to meet a number of friends, […]

The last talk of MEDAL gathering is by Mark Jakiela and he is talking about open collaborative design of tangible artifacts and the role that evolutionary algorithms can play.
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Shigeyoshi Tsustui is giving a talk on comaprison between probabilistic model building genetic algorithms with edge histogram vs. node histogram in permutation domain.
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Moshe Looks talked about estimation of distribution algorithms for learning substructures in genetic programming.
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Dave Goldberg gave a very nice talk on the power of “little” models. Below is a slide in which he recalls about first meeting Martin.

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Cezary Janikow is now presenting about representations and heuristics in GP.
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