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E-book: Hybrid Metaheuristics: Research And Applications

(Rcc Inst Of Information Technology, India)
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A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information.This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems.The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning.Related Link(s)
Preface vii
Chapter 1 Introduction to Hybrid Metaheuristics
1(38)
Sandip Dey
Sourav De
Siddhartha Bhattacharyya
Part I Research
39(72)
Chapter 2 Hybrid TLBO-GSA Strategy for Constrained and Unconstrained Engineering Optimization Functions
41(22)
Alok Kumar Shukla
Pradeep Singh
Manu Vardhan
Chapter 3 Review on Hybrid Metaheuristic Approaches for Optimization in Multibiometric Authentication System
63(26)
Aarohi Vora
Chirag Paunwala
Mita Paunwala
Chapter 4 A Novel Membrane Computing Inspired Jaya Algorithm Based Automatic Generation Control of Multi-area Interconnected Power System
89(22)
Tapan Prakash
Vinay Pratap Singh
Part II Applications
111(182)
Chapter 5 Edge Detection in Underwater Image Based on Human Psycho Visual Phenomenon and Mean Particle Swarm Optimization (MeanPSO)
113(28)
Hiranmoy Roy
Souvnyadip Dhar
Chapter 6 Quantum Inspired Non-dominated Sorting Based Multi-objective GA for Multi-level Image Thresholding
141(30)
Sandip Dey
Siddhartha Bhattacharyya
Ujjwal Maulik
Chapter 7 An Optimized Support Vector Regression Using Whale Optimization for Long Term Wind Speed Forecasting
171(26)
Sarah Osama
Essam H. Houssein
Ashraf Darwish
Aboul Ella Hassanien
Aly A. Fahmy
Chapter 8 A Hybrid Gray Wolf Optimization and Support Vector Machines for Detection of Epileptic Seizure
197(30)
Asmaa Hamad
Essam H. Houssein
Aboul Ella Hassanien
Aly A. Fahmy
Siddhartha Bhattacharyya
Chapter 9 Optimization of Recurrent Neural Networks Using Evolutionary Group-based Particle Swarm Optimization for Hexapod Robot Gait Generation
227(30)
Chia-Feng Juang
Yu-Cheng Chang
I-Fang Chung
Chapter 10 Load Optimization using Hybrid Metaheuristics in Power Generation with Transmission Loss
257(30)
Dipankar Santra
Krishna Sarker
Anirban Mukherjee
Subrata Mondal
Chapter 11 Conclusion
287(6)
Siddhartha Bhattacharyya
Index 293
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