Saturday, June 25, 2005

 

Live from GECCO-II: Parameter setting workshop

This morning I attended Fernando Lobo and Claudio Lima's workshop--parameter settings in genetic and evolutionary algorithms (PSGEA 2005). It consists of two sessions. The first three talks were about GPs, and the final three were about GAs. One of the main themes of the presentations was about population sizing; however, studies on parameters settings concerning crossover and mutation were also presented. More details about the talks can be found here.

Comments:
Hallo!!

Well, maybe I'm being a little arrogant to ask this, but could some IlliGAl Blogger blog about Ingo Rechenberg's lecture ??? I think that it is the most interesting lecture that will happen at GECCO 2005, nothing against the other lectures, but I like the way that Dr Rechenberg sees the things. :D

[]´s

Nosophorus
 
Thanks for the updates. As I've never attended a GECCO event (I probably should one of these years), its great to get this coverage.

I'd be curious to hear any thoughts you may have on the population sizing talks, i.e. information that was under discussion (spoken, not written).

Thanks again and regards,

---O
 
Hi Nosophorus,
Sorry that I didn't go to Rechenbern's lecture, and I didn't know someone who went to there......

And, optionsScalper, one of the discussions was about my work with Kumara Sastry and David Goldberg on online population sizing adjustment. Basically, we use linkage model to detect parameters needed in population-sizing model and then adjust the population size on-the-fly. The paper is available on our TR-2005017. The other issue was a survey done by Fernando Lobo and Claudio Lima. Basically, all the issues discussed will be published in an edited book in December or so.
 
Thanks for the clarifications.

As usual, I'll be buying the proceedings from this conference.

I also want to thank you and the rest of the IlliGAL bloggers for your updates and notes from GECCO. I'm sure the conference schedule was busy and adding your thoughts and observations in your blog posts was likely not an easy task under these constraints. So thanks again.

---O
 
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