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Springer Meta-Heuristics - Local Search Paradigms Book

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Description

Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization is a collection of extended papers from the Second Meta-Heuristics Conference (MIC 97). Published by Springer, this volume provides a detailed look at recent developments in optimization theory and practical applications. The content covers meta-heuristics, specific problem-solving heuristics, and comparative case studies to provide a comprehensive view of the field. The book is organized into six parts based on the specific techniques discussed. A significant portion of the text is dedicated to tabu search, featuring twelve papers that explore its application across a wide range of well-known combinatorial problems. This resource serves as a technical guide for understanding the evolution of local search paradigms and their implementation in complex optimization tasks.

Key Features

This book contains a refereed selection of extended papers from the Second Meta-Heuristics Conference (MIC 97).

The text covers recent developments in optimization theory and various meta-heuristics applications.

Springer provides a structured approach with the book divided into six parts grouped by technique.

The first part includes twelve papers focused on tabu search and its use in combinatorial problems.

Readers can access comparative case studies and heuristics designed for specific problem sets.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 1998
Listed Since
15 December 2006

Barcode

No barcode data available

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