| 书目名称 | Evolutionary Optimization in Dynamic Environments | | 编辑 | Jürgen Branke | | 视频video | | | 丛书名称 | Genetic Algorithms and Evolutionary Computation | | 图书封面 |  | | 描述 | Evolutionary Algorithms (EAs) have grown into a mature field ofresearch in optimization, and have proven to be effective and robustproblem solvers for a broad range of static real-world optimizationproblems. Yet, since they are based on the principles of naturalevolution, and since natural evolution is a dynamic process in achanging environment, EAs are also well suited to dynamic optimizationproblems. .Evolutionary Optimization in Dynamic Environments. isthe first comprehensive work on the application of EAs to dynamicoptimization problems. It provides an extensive survey on research inthe area and shows how EAs can be successfully used to .. continuously and efficiently adapt a solution to a changingenvironment, .. find a good trade-off between solution quality andadaptation cost, .. find robust solutions whose quality isinsensitive to changes in the environment, .. find flexiblesolutions which are not only good but that can be easily adapted whennecessary. .. All four aspects are treated in this book, providing a holistic viewon the challenges and opportunities when applying EAs to dynamicoptimization problems. The comprehensive and up-to-date coverage ofthe subject, together wi | | 出版日期 | Book 2002 | | 关键词 | Adaptation Cost; Evolutionary Algorithms (EAs); Robust Solutions; algorithms; evolution; evolutionary alg | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-0911-0 | | isbn_softcover | 978-1-4613-5300-3 | | isbn_ebook | 978-1-4615-0911-0Series ISSN 1568-2587 | | issn_series | 1568-2587 | | copyright | Springer Science+Business Media New York 2002 |
The information of publication is updating
|
|
发表于 2025-3-21 16:23:05
