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How to Solve It: Modern Heuristics

Language EnglishEnglish
Book Paperback
Book How to Solve It: Modern Heuristics Zbigniew Michalewicz
Libristo code: 01651418
Publishers Springer, Berlin, November 2009
This book is the only source that provides comprehensive, current, and correct information on proble... Full description
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This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. Integrated into the discourse is a series of problems and puzzles to challenge the reader. The book is written in a lively, engaging style and is intended for students and practitioners alike. Anyone who reads and understands the material in the book will be armed with the most powerful problem solving tools currently known.§This second edition contains two new chapters, one on coevolutionary systems and one on multicriterial decision-making. Also some new puzzles are added and various subchapters are revised.

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About the book

Full name How to Solve It: Modern Heuristics
Author Zbigniew Michalewicz, David B. Fogel
Language English
Binding Book - Paperback
Date of issue 2010
Number of pages 554
EAN 9783642061349
ISBN 3642061346
Libristo code 01651418
Publishers Springer, Berlin
Weight 856
Dimensions 155 x 31 x 29

Categories

Reference, Information & Interdisciplinary subjects > Research & information: general > Information theory > Cybernetics & systems theory
Mathematics & Science > Mathematics > Calculus & mathematical analysis > Calculus of variations
Mathematics & Science > Mathematics > Probability & statistics
Mathematics & Science > Mathematics > Optimization
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Economics, Finance, Business & Management > Finance & accounting
Computing & Information Technology > Computer science
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