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  You are here:     Home page     Research & consultancy     EvoDebates: Fit for the future     Understanding the algorithm       

EvoDebates: Fit for the future - Understanding the algorithm

Select a name or photograph to read the full position statement and to post your own comments.

photo: Gusz Eiben Gusz Eiben
"These shortcomings will lead to an EC winter, much like the AI-winter when the big claims and promises of AI were not fulfilled and there was a lack of killer applications."

photo: José-Luis Fernández-Villacañas Martín José-Luis Fernández-Villacañas Martín
"We need a general theory of adaptation that includes physical grounding."

photo: Carlos M Fonseca Carlos M Fonseca
"From a theoretical point of view, multi-objective optimisation forces many concepts to be generalised, which is not always trivial, and raises new issues or stresses old ones. As such, it is still very much an open area for research."

photo: Mario Koeppen Mario Koeppen
"The decision to use an EC approach is generally motivated by the vast number of choices for alternative implementations of its genetic operators. A GA, for example, is an entity open to design and alteration. In this context, theoretical foundations of EC matter."

photo: Evelyne Lutton Evelyne Lutton
"A solid theoretical background should not be neglected in order to help give confidence in our domain and attract industrialists."

photo: Riccardo Poli Riccardo Poli
"EC is a very small subspace within the space of all possible search algorithms, and therefore might some day become less popular…. It is important therefore to concentrate our scientific efforts on the things that will have longer lasting"

photo: Marc Schoenauer Marc Schoenauer
"Efforts in the theoretical direction should be enforced, particularly by convincing high-level researchers in probability theory that evolutionary algorithms are a rich-enough domain."

blank photo Hans-Paul Schwefel
"We need to reinvent evolution step by step, so that understanding the phenomena and improving the evolutionary algorithms go hand-in-hand."

photo: Karsten Weicker Karsten Weicker
"We need an integrated understanding of algorithms and problems."

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