| 期刊全稱 | Advances in Evolutionary Computing | | 期刊簡(jiǎn)稱 | Theory and Applicati | | 影響因子2023 | Ashish Ghosh,Shigeyoshi Tsutsui | | 視頻video | http://file.papertrans.cn/149/148023/148023.mp4 | | 發(fā)行地址 | State of the art of theory and applications in Evolutionary Algorithms Contributions by established researchers in the field.Well-balanced between theory and applications.Includes supplementary materi | | 學(xué)科分類 | Natural Computing Series | | 圖書封面 |  | | 影響因子 | The term evolutionary computing refers to the study of the foundations and applications of certain heuristic techniques based on the principles of natural evolution; thus the aim of designing evolutionary algorithms (EAs) is to mimic some of the processes taking place in natural evolution. These algo- rithms are classified into three main categories, depending more on historical development than on major functional techniques. In fact, their biological basis is essentially the same. Hence EC = GA uGP u ES uEP EC = Evolutionary Computing GA = Genetic Algorithms,GP = Genetic Programming ES = Evolution Strategies,EP = Evolutionary Programming Although the details of biological evolution are not completely understood (even nowadays), there is some strong experimental evidence to support the following points: ? Evolution is a process operating on chromosomes rather than on organ- isms. ? Natural selection is the mechanism that selects organisms which are well- adapted to the environment toreproduce more often than those which are not. ? The evolutionary process takes place during the reproduction stage that includes mutation (which causes the chromosomes of offspring to be dif- ferent f | | Pindex | Book 2003 |
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