Mirjalili Seyedali, Gandomi Amir H. Comprehensive Metaheuristics: Algorithms and Applications

Academic Press/Elsevier, 2023. — 468 p. — ISBN: 978-0-323-91781-0.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 an 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 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.Chaos theory in metaheuristics.
Metaheuristic approaches for solving multiobjective optimization problems.
A brief overview of physics-inspired metaheuristics.
Evolutionary computation techniques for optimal response actions against water distribution networks contamination.
Metaheuristic technique for solving fuzzy nonlinear equations.
Metaheuristic algorithms in network intrusion detection.
Metaheuristic algorithms in text clustering.
Application of metaheuristic algorithms in optimal design of sewer collection systems.
Space truss structures’ optimization using metaheuristic optimization algorithms.
Metaheuristics for solving the wind turbine placement problem.
Use of metaheuristics in industrial development and their future perspectives.
Levy flight and Chaos theory based metaheuristics for grayscale image thresholding.
Metaheuristics for optimal feature selection in high-dimensional datasets.
Optimal deployment of sensors for leakage detection in water distribution systems using metaheuristics.
Metaheuristic-based automatic generation controller in interconnected power systems with renewable energy sources.
Route optimization in MANET using swarm intelligence algorithm.
: The promise of metaheuristic algorithms for efficient operation of a highly complex power system.
Genome sequence assembly using metaheuristics.
Metaheuristics for optimizing weights in neural networks.
Metaheuristics for clustering problems.
Employment of bio-inspired algorithms in the field of antenna array optimization: A review.
Foundations of combinatorial optimization, heuristics, and metaheuristics.