Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

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Vasant, Pandian M.
IGI Global, Sep 30, 2012 - Computers - 734 pages

Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems.

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.

 

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Contents

An Improved Particle Swarm Optimization for Optimal Power Flow
1
The Use of Soft Computing for Optimization in Business Economics and Finance
41
Hybrid Linear Search Genetic Algorithms and Simulated Annealing for Fuzzy NonLinear Industrial Production Planning Problems
87
Metaheuristic Algorithms for Supply Chain Management Problems
110
InstanceSpecific Parameter Tuning for MetaHeuristics
136
Investigating of Hybrid MetaHeuristics to Solve the LargeScale MultiSource Weber Problems and Performance Measuring of them with Statistical Tests
171
Analysing the ReturnsEarnings Relationship
198
Support Vector Machine Based Mobile Robot Motion Control and Obstacle Avoidance
223
Soccer Game Optimization
386
Two Stage Capacitated Facility Location Problem
421
Generators Maintenance Scheduling Using MusicInspired Harmony Search Algorithm
448
Usage of Metaheuristics in Engineering
484
Online Clustering and Outlier Detection
529
Optimal Ordering of Activities of New Product Development Projects with Time and Cost Considerations
546
Application of MetaHeuristic Optimization Algorithms in Electric Power Systems
564
A Gravitational Search Algorithm Approach for Optimizing ClosedLoop Logistics Network
616

A Hybrid MetaHeuristic to Solve a MultiCriteria HFS Problem
252
Pure and Hybrid Metaheuristics for the Response Time Variability Problem
275
Hybrid Metaheuristics Algorithms for Inventory Management Problems
312
ANNBased SelfTuning Frequency Control Design for an Isolated Microgrid
357
Compilation of References
639
About the Contributors
695
Index
705
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