| 期刊全称 | Adaptive Differential Evolution | | 期刊简称 | A Robust Approach to | | 影响因子2023 | Jingqiao Zhang,Arthur C. Sanderson | | 视频video | | | 发行地址 | Comprehensive study of adaptive differential evolution.Real-world insights into a variety of large-scale complex industrial applications | | 学科分类 | Adaptation, Learning, and Optimization | | 图书封面 |  | | 影响因子 | .Optimization problems are ubiquitous in academic research and real-world applications wherever such resources as space, time and cost are limited. Researchers and practitioners need to solve problems fundamental to their daily work which, however, may show a variety of challenging characteristics such as discontinuity, nonlinearity, nonconvexity, and multimodality. It is expected that solving a complex optimization problem itself should easy to use, reliable and efficient to achieve satisfactory solutions....Differential evolution is a recent branch of evolutionary algorithms that is capable of addressing a wide set of complex optimization problems in a relatively uniform and conceptually simple manner. For better performance, the control parameters of differential evolution need to be set appropriately as they have different effects on evolutionary search behaviours for various problems or at different optimization stages of a single problem. The fundamental theme of the book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. Topics covered in this book include:....Theoretical analysis of differential evolution and its control p | | Pindex | Book 2009 |
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发表于 2025-3-21 17:01:52
