Kaveh A. Advanced Metaheuristic Algorithms...Applications...2022 torrent

Textbook in PDF format

The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the search process, different subpopulations explore the search space independently but simultaneously. The framework aims to provide a suitable balance between exploration and exploitation during the search process. A few chapters containing algorithm-specific modifications of some state-of-the-art metaheuristics are also included to further enrich the book.
Chapter 1 explains the purpose of the book and provides an overview of the remaining chapters. In Chap. 2, the set-theoretical shuffled shepherd optimization algorithm is introduced and applied to the optimal design of reinforced concrete cantilever retaining walls. Chapter 3 introduces the set-theoretical variants of the teaching-learning-based optimization algorithm for structural optimization with frequency constraints. In Chap. 4, enhanced versions of the shuffled shepherd optimization algorithm are developed for structural optimization. In Chap 5, a number of set-theoretical metaheuristic algorithms are applied to reliability-based design optimization of truss structures. In Chap. 6, optimal analysis is used in the service of frequency-constrained optimization of cyclic symmetric structures with set-theoretical Jaya algorithm. Discrete structural optimization with set-theoretical Jaya algorithm is discussed in Chap. 7. In Chap. 8, enhanced forensic-based investigation algorithm is introduced and its application to structural optimization with frequency constraints is examined. In Chap. 9, improved slime mould algorithm is developed for structural optimization with frequency constraints. Finally, in Chap. 10, improved arithmetic optimization algorithm is proposed for discrete structural optimization.
Introduction
Set-Theoretical Shuffled Shepherd Optimization Algorithm for Optimal Design of Reinforced Concrete Cantilever Retaining Wall Structures
Set-Theoretical Variants of the Teaching–Learning-Based Optimization Algorithm for Structural Optimization with Frequency Constraints
Enhanced Set-Theoretical Versions of the Shuffled Shepherd Optimization Algorithm for Structural Optimization
Set-Theoretical Metaheuristic Algorithms for Reliability-Based Design Optimization of Truss
Structures Optimal Analysis in the Service of Frequency-Constrained Structural Optimization with Set-Theoretical Jaya Algorithm
Discrete Structural Optimization with Set-Theoretical Jaya Algorithm
Enhanced Forensic-Based Investigation Algorithm
Improved Slime Mould Algorithm
Improved Arithmetic Optimization Algorithm