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Advances in Metaheuristics for Hard Optimization (Natural Computing)

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Synopses & Reviews

Publisher Comments:

Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics. The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications. This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.

Synopsis:

Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Table of Contents

Comparison of Simulated Annealing, Interval Partitioning and Hybrid Algorithms in Constrained Global Optimization.- Linkage Synthesis of a Four-Bar Mechanism for n Desired Path Points Using Simulated Annealing.- MOSS-II Tabu/Scatter Search for Nonlinear Multiobjective Optimization.- Feature Selection for Heterogeneous Ensembles of Nearest Neighbour Classifiers Using Hybrid Tabu Search.- Parallel Ant Colony Optimization Algorithm for Solving Continuous Type Engineering Problems.- An Ant-Bidding Algorithm for Multistage Flowshop Scheduling Problem: Optimization and Phase Transitions.- Dynamic Load Balancing Using an Ant Colony Approach in Microcellular Systems.- How to Calibrate Evolutionary Algorithms.- Divide and Evolve: A Sequential Hybridization Strategy Using Evolutionary Algorithms.- Evolvable Artificial Creature.- Local Search Based on Genetic Algorithms.- A Study on Locality and Heritability in Hybrid Evolutionary Cluster Optimization.- Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm.- Some Guidelines for Genetic Algorithm implementation in MINLP Batch Plant Design Problems.- Coevolutionary Genetic Algorithm to Solve Economic Dispatch.- An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem.- Optimizing Stochastic Functions by Using Genetic Algorithm: An Aeronautic Military Application.- Learning Structure Illuminates Black Boxes: An Introduction into Estimation of Distribution Algorithms.- Making a Difference to Differential Evolution.- Hidden Markov Models Training Using Population-Based Metaheuristics.- New Metaheuristic Approaches in Data Mining

Product Details

ISBN:
9783642092060
Author:
Siarry, Patrick
Publisher:
Springer
Author:
Michalewicz, Zbigniew
Location:
Berlin, Heidelberg
Subject:
Artificial Intelligence
Subject:
ant colony optimization
Subject:
Ant systems
Subject:
Evolutionary Computing
Subject:
Hard optimization
Subject:
Heuristic methods
Subject:
multi-objective optimization
Subject:
Simulated annealing
Subject:
tabu search
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
OPTIMIZATION
Subject:
Operations Research, Management Science
Subject:
Engineering design
Subject:
Theory of Computation <P>Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on s
Subject:
Computers-Reference - General
Subject:
Theory of computation
Subject:
Computer Science
Subject:
B
Subject:
Mathematical optimization
Subject:
Information Theory
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2008
Series:
Natural Computing Series
Publication Date:
20101123
Binding:
TRADE PAPER
Language:
English
Pages:
497
Dimensions:
235 x 155 mm 748 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Science and Mathematics » Chemistry » Organic
Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » General

Advances in Metaheuristics for Hard Optimization (Natural Computing) New Trade Paper
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Product details 497 pages Not Avail - English 9783642092060 Reviews:
"Synopsis" by , Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.
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