Parallel Problem Solving from Nature - PPSN V: 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings.

A. et al. (Eds.) Eiben

ISBN 10: 3540650784 / ISBN 13: 9783540650782

Edité par Berlin Springer Verlag, 1998

A propos de cet article

Gebraucht - Gut Zustand: Gut, Mängelexemplar, XXIII, 1041 pp. About this book: This book constitutes the refereed proceedings of the 5th International Conference on Parallel Problem Solving from Nature, PPSN V, held in Amsterdam, The Netherlands, in September 1998. The 101 papers included in their revised form were carefully reviewed and selected from a total of 185 submissions. The book is divided into topical sections on convergence theory; fitness landscape and problem difficulty; noisy and non-stationary objective functions; multi-criteria and constrained optimization; representative issues; selection, operators, and evolution schemes; coevolution and learning; cellular automata, fuzzy systems, and neural networks; ant colonies, immune systems, and other paradigms; TSP, graphs, and satisfiability; scheduling, partitioning, and packing; design and telecommunications; and model estimations and layout problems. Written for researchers and professionals.

N° de réf. du vendeur 16754

Détails bibliographiques

• Titre: Parallel Problem Solving from Nature - PPSN V: 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings.
• Éditeur: Berlin Springer Verlag
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 3540650784
• ISBN à 13 chiffres: 9783540650782
• Reliure: Softcover
• État de l'article: Gut

A propos de ce titre

Synopsis

This book constitutes the refereed proceedings of the 5th International Conference on Parallel Problem Solving from Nature, PPSN V, held in Amsterdam, The Netherlands, in September 1998.
The 101 papers included in their revised form were carefully reviewed and selected from a total of 185 submissions. The book is divided into topical sections on convergence theory; fitness landscape and problem difficulty; noisy and non-stationary objective functions; multi-criteria and constrained optimization; representative issues; selection, operators, and evolution schemes; coevolution and learning; cellular automata, fuzzy systems, and neural networks; ant colonies, immune systems, and other paradigms; TSP, graphs, and satisfiability; scheduling, partitioning, and packing; design and telecommunications; and model estimations and layout problems.