Advances in Metaheuristics for Hard Optimization

Advances in Metaheuristics for Hard Optimization

Paperback(Softcover reprint of hardcover 1st ed. 2008)

$199.00
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Product Details

ISBN-13: 9783642092060
Publisher: Springer Berlin Heidelberg
Publication date: 11/23/2010
Series: Natural Computing Series
Edition description: Softcover reprint of hardcover 1st ed. 2008
Pages: 481
Product dimensions: 6.10(w) x 9.25(h) x 0.36(d)

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

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