Frontiers of Evolutionary Computation

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(271 Seiten)
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ISBN-13:
9781402077821
Einband:
PDF
Seiten:
271
Autor:
Anil Menon
Serie:
Genetic Algorithms and Evolutionary Computation
eBook Typ:
PDF
eBook Format:
PDF
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

  • List of Figures. List of Tables. Preface. Contributing Authors.
  • 1: Towards a Theory of Organisms and Evolving Automata; H. Mühlenbein. 1. Introduction. 2. Evolutionary computation and theories of evolution. 3. Darwin's continental cycle conjecture. 4. The system view of evolution. 5. Von Neumann's self-reproducing automata. 6. Turing's intelligent machine. 7. What can be computed by an artificial neural network? 8. Limits of computing and common sense. 9. A logical theory of adaptive systems. 10. The lambda-Calculus for creating artificial intelligence. 11. Probabilistic logic. 12. Stochastic analysis of cellular automata. 13. Stochastic analysis of evolutionary algorithms. 14. Stochastic analysis and symbolic representations. 15. Conclusion.
  • 2: Two Grand Challenges for EC; K. De Jong. 1. Introduction. 2. Historical Diversity. 3. The Challenge of Unfication. 4. The Challenge of Expansion. 5. Summary and Conclusions.
  • 3: Evolutionary Computation: Challenges and duties; C. Cotta, P. Moscato. 1. Introduction. 2. Challenge #1: Hard problems for the paradigm - Epistasis and Parameterized Complexity. 3. Challenge #2: Systematic design of provably good recombination operators. 4. Challenge #3: Using Modal Logic and Logic Programming methods to guide the search. 5. Challenge #4: Learning from other metaheuristics and other open challenges. 6. Conclus

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