Evolutionary Programming VII

1. Front Matter

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2. The cumulative consensus of cognitive agents in scenarios: A framework for evolutionary processes in semantic memory

   • Donald W. Dearholt

   Pages 1-12

3. Preferential partner selection in evolutionary labor markets: A study in agent-based computational economics

   • Leigh Tesfatsion

   Pages 13-24

4. Subspace pursuit for exploratory modeling

   • Steve Bankes

   Pages 25-31

5. Complete classes of strategies for the Classical Iterated Prisoner's Dilemma

   • Bruno Beaufils, Jean-Paul Delahaye, Philippe Mathieu

   Pages 33-41

6. Evolutionary computing in multi-agent environments: Operators

   • Larry Bull

   Pages 43-52

7. Evaluation of a simple host-parasite genetic algorithm

   • Björn Olsson

   Pages 53-62

8. Testing three paradigms for evolving groups of cooperative, simple agents

   • John F. Walker

   Pages 63-72

9. Acquisition of general adaptive features by evolution

   • Dan Ashlock, John E. Mayfield

   Pages 73-84

10. Hybrid interior-lagrangian penalty based evolutionary optimization

    • Hyun Myung, Jong-Hwan Kim

    Pages 85-94

11. GA-Optimal fitness functions

    • Joseph L. Breeden

    Pages 95-102

12. Scaling up evolutionary programming algorithms

    • Xin Yao, Yong Liu

    Pages 103-112

13. Short notes on the schema theorem and the building block hypothesis in genetic algorithms

    • Ralf Salomon

    Pages 113-122

14. A superior evolutionary algorithm for 3-SAT

    • Thomas Bäck, Agoston E. Eiben, Marco E. Vink

    Pages 123-136

15. Evolvable hardware control for dynamic reconfigurable and adaptive computing

    • Paul M. Chau, Gerald Clark, Anthony Sebald

    Pages 137-146

16. Evolutionary programming strategies with self-adaptation applied to the design of rotorcraft using parallel processing

    • Joel E. Hirsh, Darrell K. Young

    Pages 147-156

17. Optimization of thinned phased arrays using evolutionary programming

    • Kumar Chellapilla, Rao Sathyanarayan. S., Ahmad Hoorfar

    Pages 157-166

18. Evolutionary domain covering of an inference system for function approximation

    • Witold Kosiński, Martyna Weigl, Zbigniew Michalewicz

    Pages 167-178

19. Learning to re-engineer semantic networks using cultural algorithms

    • Nestor Rychtyckyj, Robert G. Reynolds

    Pages 179-190

20. Integration of slicing methods into a Cultural Algorithm in order to assist in large-scale engineering systems design

    • David A. Ostrowski, Robert G. Reynolds

    Pages 191-198

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Evolutionary Programming, EP98, held in San Diego, CA, USA, in March 1998.
The volume presents 81 revised full papers selected from an overwhelming number of submissions. The papers are organized in topical sections on economics, emergence and complex systems; issues and innovations in evolutionary computation; applications; evolution-based approaches to engineering design; examining representations and operators; evolutionary computation theory; evolutionary computation and biological modeling; particle swarm; and combinations of evolutionary and neural computation.

• Evolution Strategies
• Evolutionary Programming
• Genetic Algorithms
• Genetic Programming
• algorithms
• complex systems
• evolution
• evolutionary computation
• modeling
• programming
• algorithm analysis and problem complexity

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