Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
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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The Use of Soft Computing for Optimization in Business Economics and Finance
Hybrid Linear Search Genetic Algorithms and Simulated Annealing for Fuzzy NonLinear Industrial Production Planning Problems
Metaheuristic Algorithms for Supply Chain Management Problems
InstanceSpecific Parameter Tuning for MetaHeuristics
Investigating of Hybrid MetaHeuristics to Solve the LargeScale MultiSource Weber Problems and Performance Measuring of them with Statistical Tests
Analysing the ReturnsEarnings Relationship
Support Vector Machine Based Mobile Robot Motion Control and Obstacle Avoidance
Soccer Game Optimization
Two Stage Capacitated Facility Location Problem
Generators Maintenance Scheduling Using MusicInspired Harmony Search Algorithm
Usage of Metaheuristics in Engineering
Online Clustering and Outlier Detection
Optimal Ordering of Activities of New Product Development Projects with Time and Cost Considerations
Application of MetaHeuristic Optimization Algorithms in Electric Power Systems
A Gravitational Search Algorithm Approach for Optimizing ClosedLoop Logistics Network
A Hybrid MetaHeuristic to Solve a MultiCriteria HFS Problem
Pure and Hybrid Metaheuristics for the Response Time Variability Problem
Hybrid Metaheuristics Algorithms for Inventory Management Problems
ANNBased SelfTuning Frequency Control Design for an Isolated Microgrid
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