Полное описание

Rothlauf, F. Design of Modern Heuristics : principles and Application / by Franz Rothlauf. - Electronic text data. - Berlin ; Heidelberg : Springer, 2011. - (Natural Computing Series, ISSN 1619-7127). - URL: http://dx.doi.org/10.1007/978-3-540-72962-4. - Загл. с экрана. - ISBN 978-3-540-72962-4. - DOI 10.1007/978-3-540-72962-4. - Текст : электронный.
Содержание:
Chap. 1 -- Introduction -- Part I -- Fundamentals -- Chap. 2 -- Optimization Problems -- Chap. 3 -- Optimization Methods -- Part II -- Modern Heuristics -- Chap. 4 -- Design Elements -- Chap. 5 -- Search Strategies -- Chap. 6 -- Design Principles -- Part III Case Studies -- Chap. 7 -- High Locality Representations for Automated Programming -- Chap. 8.-Biased Modern Heuristics for the OCST Problem -- Chap. 9.-Summary -- References -- Nomenclature -- Glossary -- Index.

ГРНТИ	УДК
27.47.19	519.85

Рубрики:
computer science
information technology
business -- Data processing.
artificial intelligence
mathematical optimization
computational intelligence
computer Science
artificial Intelligence (incl Robotics)
optimization
computational Intelligence
iT in Business

Аннотация: Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.

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