| 期刊全称 | Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization | | 影响因子2023 | Ali Kaveh,Kiarash Biabani Hamedani | | 视频video | | | 发行地址 | Provides general strategies to improve the performance of existing metaheuristic optimization algorithms.Is useful for researchers working in the area of optimization.Aims post-graduate students in di | | 学科分类 | Studies in Computational Intelligence | | 图书封面 |  | | 影响因子 | .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...The present book is addressed to those scientists, engineers, and students who wish to explore the potentials of newly developed metaheuristics. The proposed metaheuristics are not only applicable to structural optimization problems but can also be used for other engineering optimization applications. The book is likely to be of interest to a wide range of engineers and students who deal with engineering optimization problems.. | | Pindex | Book 2022 |
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发表于 2025-3-21 18:57:47
