Comprehensive Metaheuristics

Algorithms and Applications

Seyedali Mirjalili, Seyedali Mirjalili, Amir Hossein Gandomi, Ali Mirjalili

• Publisher: Academic Press
• Year: 2023
• Print ISBN: 9780323917810
• eBook ISBN: 9780323972673
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

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. - Presented by world-renowned researchers and practitioners in metaheuristics - Includes techniques, algorithms, and applications based on real-world case studies - Presents the methodology for formulating optimization problems for metaheuristics - Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques - Features online complementary source code from the applications and algorithms

Table of contents

• Comprehensive Metaheuristics
• Cover
• Title Page
• Copyright Page
• Table of Contents
• Contributors
• Chapter 1 Chaos theory in metaheuristics
• Chapter 2 Metaheuristic approaches for solving multiobjective optimization problems
• Chapter 3 A brief overview of physics-inspired metaheuristics
• Chapter 4 Evolutionary computation techniques for optimal response actions against water distribution networks contamination
• Chapter 5 Metaheuristic technique for solving fuzzy nonlinear equations
• Chapter 6 Metaheuristic algorithms in network intrusion detection
• Chapter 7 Metaheuristic algorithms in text clustering
• Chapter 8 Application of metaheuristic algorithms in optimal design of sewer collection systems
• Chapter 9 Space truss structures’ optimization using metaheuristic optimization algorithms
• Chapter 10 Metaheuristics for solving the wind turbine placement problem
• Chapter 11 Use of metaheuristics in industrial development and their future perspectives
• Chapter 12 Lévy flight and Chaos theory based metaheuristics for grayscale image thresholding
• Chapter 13 Metaheuristics for optimal feature selection in high-dimensional datasets
• Chapter 14 Optimal deployment of sensors for leakage detection in water distribution systems using metaheuristics
• Chapter 15 Metaheuristic-based automatic generation controller in interconnected power systems with renewable energy sources
• Chapter 16 Route optimization in MANET using swarm intelligence algorithm
• Chapter 17 The promise of metaheuristic algorithms for efficient operation of a highly complex power system
• Chapter 18 Genome sequence assembly using metaheuristics
• Chapter 19 Metaheuristics for optimizing weights in neural networks
• Chapter 20 Metaheuristics for clustering problems
• Chapter 21 Employment of bio-inspired algorithms in the field of antenna array optimization: A review
• Chapter 22 Foundations of combinatorial optimization, heuristics, and metaheuristics
• Index