Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains.
The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts.
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Table of Contents
1. Chaos theory in metaheuristcs
2. A New Metaheuristic Approach for Solving Multi-Objective Optimization Problems
3. A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques
4. Application of evolutionary computation techniques for developing optimal response actions against water distribution networks contamination
5. Metaheuristic Technique for Solving Fuzzy Nonlinear Equations
6. Meta-heuristics in Network Intrusion Detection
7. Meta-heuristics in text clustring
8. Application of Metaheuristic Algorithms for Optimal Design of Sewer Collection Systems
9. Meta-heuristics for optimization of structures
10. Meta-heuristics for solving wind turbine placement problem
11. Meta-heuristics in industrial development and its future perspective
12. Levy Flight and Chaos Theory Based Gravitational Search Algorithm for Greyscale Image Thresholding
13. Meta-heuristics for Optimal Feature Selection in High-Dimensional Datasets
14. The Optimal Deployment of Sensors for Leakage Detection in Water Distribution Systems using meta-heuristics
15. Meta-Heuristics Based Automatic Generation Controller In Interconnected Power Systems With Renewable Energy Sources
16. Swarm Intelligence based Route optimization in Mobile Ad-hoc Network
17. The promise of metaheuristic algorithms for efficient operation of a highly complex power system: a comparative assessment
18. Genome Sequencing: Applications of Meta-Heuristics in Bioinformatics
19. Meta-heuristics for training Neural Networks
20. Meta-heuristics for clustring problems
21. Bio Inspired Algorithms in the field of Antenna Array Optimization: Review
22. Foundations of Combinatorial Optimization, Heuristics, and Meta-heuristics
