Illinois Genetic Algorithms Laboratory

Pensive Pondering is a new blog and the first few posts comment on the De Jong’s writing on GAFO (GAs as function optimizers) and Wolpert and Macready’s writing on the no free lunch theorem. I’ve always been a card-carrying member of the field’s optimist wing and have almost always found writing about what GAs […]

BitKrafted posts about the Chalmers University’s Humanoid Project in which layers of genetic algorithms and genetic programming are used as the intelligent core of a full-size humanoid robot. More information is available at the project web page here.
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Sodarace is a site where you make stick figures and race them against stick figures that are made by GAs, and other AIs.
Please don’t hate me for the hours of your time I’ve just wasted.
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The Goldberg family returned this weekend from a two-week vacation in Douglas on Michigan’s west coast. Douglas is adjacent to Saugatuck, an artsie community with quaint shops, galleries, and access to Lake Michigan down the Kalamazoo River. Between going to the beach, sailing, kayaking, biking, attending lovely summer theatre productions of […]

I just came back from the academy of management conference. It’s not EC related, but EC and management share some same concepts. For example, modularity plays an important role in both optimization problems in EC and organizational management (for example, teaming). Our current research direction is to apply the concept of little models […]

Came across this article about an Australian-based company called Optimatics that uses GAs for water system planning, design, and operations. They suggest that “a cost saving of 20%-30% makes it worthwhile to undertake GA.” Apparently, they’ve done over 50 GA studies in water passage and flow in Australia, North America, and Europe. […]

Recently, I discovered that a new version of NSGA2 from the Kanpur Genetic Algorithms Laboratory KanGAL included a visualization using gnuplot. It is thus possible during the run to track the progress of the algorithm visually. The visualization only works in 2 or 3 dimensions, but it is possible to decide which objectives are shown […]

I run into another interesting article browsing the net this summer. The Mexican philosopher Manuel DeLanda wrote it. His article explores the connections between different kinds of thinking paradigms (intensive, topological, and population ones, to mention a few) and genetic algorithms when applied to architecture.
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In a press release today, Tripos announced Version 7.1 of its SYBIL Molecular Modeling Tool, which includes a GA, apparently developed in conjunction with researchers in the Chemoinformatics Group of The University of Sheffield. There’s a nice presentation on this work here.
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Browsing the net this summer I run in to an interesting paper by John Middendorf about curvilinear design in architecture. Genetic algorithms play an interesting role in it. Such algorithms help in curvilinear designs such as Frank Gehry’s designs.
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