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Metaheuristics for Dynamic Optimization

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Cover of 'Metaheuristics for Dynamic Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Performance Analysis of Dynamic Optimization Algorithms
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    Chapter 2 Quantitative Performance Measures for Dynamic Optimization Problems
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    Chapter 3 Dynamic Function Optimization: The Moving Peaks Benchmark
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    Chapter 4 SRCS: A Technique for Comparing Multiple Algorithms under Several Factors in Dynamic Optimization Problems
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    Chapter 5 Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis
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    Chapter 6 Two Approaches for Single and Multi-Objective Dynamic Optimization
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    Chapter 7 Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima
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    Chapter 8 Dynamic Multi-Objective Optimization Using PSO
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    Chapter 9 Ant Colony Based Algorithms for Dynamic Optimization Problems
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    Chapter 10 Elastic Registration of Brain Cine-MRI Sequences Using MLSDO Dynamic Optimization Algorithm
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    Chapter 11 Artificial Immune System for Solving Dynamic Constrained Optimization Problems
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    Chapter 12 Metaheuristics for Dynamic Vehicle Routing
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    Chapter 13 Low-Level Hybridization of Scatter Search and Particle Filter for Dynamic TSP Solving
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    Chapter 14 From the TSP to the Dynamic VRP: An Application of Neural Networks in Population Based Metaheuristic
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    Chapter 15 Insect Swarm Algorithms for Dynamic MAX-SAT Problems
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    Chapter 16 Dynamic Time-Linkage Evolutionary Optimization: Definitions and Potential Solutions
Attention for Chapter 8: Dynamic Multi-Objective Optimization Using PSO
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Chapter title
Dynamic Multi-Objective Optimization Using PSO
Chapter number 8
Book title
Metaheuristics for Dynamic Optimization
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-30665-5_8
Book ISBNs
978-3-64-230664-8, 978-3-64-230665-5
Authors

Mardé Helbig, Andries P. Engelbrecht

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Doctoral Student 4 15%
Student > Master 4 15%
Professor 3 11%
Student > Ph. D. Student 3 11%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Computer Science 13 48%
Engineering 4 15%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Mathematics 1 4%
Other 2 7%
Unknown 5 19%