Artificial Evolution

1. A genetic algorithm to improve an Othello program

   • Jean -Marc Alliot, Nicolas Durand

   Pages 305-319

2. A comparative study of a penalty function, a repair heuristic, and stochastic operators with the set-covering problem

   • Thomas Bäck, Martin Schütz, Sami Khuri

   Pages 320-332

3. Study of genetic search for the Frequency Assignment Problem

   • Jin -Kao Hao, Raphaël Dorne

   Pages 333-344

4. An application of evolutionary algorithms to the scheduling of robotic operations

   • Vittorio Gorrini, Marco Dorigo

   Pages 345-354

5. Genetic operators for two-dimentional shape optimization

   • Couro Kane, Marc Schoenauer

   Pages 355-369

6. Air Traffic conflict resolution by Genetic Algorithms

   • Frédéric Médioni, Nicolas Durand, Jean -Marc Alliot

   Pages 370-383

7. Optimizing hidden Markov models with a genetic algorithm

   • M. Slimane, G. Venturini, J. -P. Asselin de Beauville, T. Brouard, A. Brandeau

   Pages 384-396

8. Back Matter

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This volume presents a collection of revised refereed papers selected from the contributions presented at the European Conference on Artificial Evolution, AE '95, held in Brest, France, in September 1995; also included are a few papers from the predecessor conference, AE '94.
Besides two invited surveys on evolution strategies and evolutionary programming, 24 full papers are presented. They are grouped into sections on evolutionary computation theory, genetic algorithm techniques, coevolution, neural networks, image processing, and applications to various optimization and other problems.

• algorithms
• evolution
• evolutionary computation
• genetic algorithm
• image processing
• neural network
• optimization
• algorithm analysis and problem complexity

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