| 书目名称 | Real-World Applications of Evolutionary Computing | | 副标题 | EvoWorkshops 2000: E | | 编辑 | Stefano Cagnoni | | 视频video | | | 概述 | Includes supplementary material: | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated back to the - vention of computers, and a better formal de nition of EC, made in the 1960s, the quest for real-world applications of EC only began in the late 1980s. The dramatic increase in computer performances in the last decade of the 20th c- tury gave rise to a positive feedback process: EC techniques became more and more applicable, stimulating the growth of interest in their study, and allowing, in turn, new powerful EC paradigms to be devised. In parallel with new theoretical results, the number of elds to which EC is being applied is increasing day by day, along with the complexity of applications and application domains. In particular, industrially relevant elds, such as signal and image processing, computer vision, pattern recognition, industrial control, telecommunication, scheduling and timetabling, and aerospace engineering are employing EC techniques to solve complex real | | 出版日期 | Conference proceedings 2000 | | 关键词 | Aeronautics; Ant algorithm; Control Telecommunications; Evolutionary Algorithms; Fuzzy; Genetic Algorithm | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-45561-2 | | isbn_softcover | 978-3-540-67353-8 | | isbn_ebook | 978-3-540-45561-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2000 |
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发表于 2025-3-21 17:57:24
