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![Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization](/uploads/posts/2022-09/1663670679_4801_advanc_d_m_tah_uristic_algorithms_and_th_ir_applications_in_structural_optimization.jpg)
Автор: Ali Kaveh, Kiarash Biabani Hamedani
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 369
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB
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.