Parallel Problem Solving from Nature — PPSN V [electronic resource] : 5th International Conference Amsterdam, The Netherlands September 27–30, 1998 Proceedings /

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.

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Bibliographic Details
Main Authors: Eiben, Agoston E. editor., Bäck, Thomas. editor., Schoenauer, Marc. editor., Schwefel, Hans-Paul. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1998
Subjects:Computer science., Microprocessors., Architecture, Computer., Computer programming., Computers., Algorithms., Computer Science., Theory of Computation., Computer System Implementation., Computation by Abstract Devices., Algorithm Analysis and Problem Complexity., Processor Architectures., Programming Techniques.,
Online Access:http://dx.doi.org/10.1007/BFb0056843
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Summary: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.