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EVOLUTIONARY COMPUTATION

來源: 樹人論文網(wǎng) 瀏覽次數(shù):211次
創(chuàng)刊時間:1993
周期:Quarterly
ISSN:1063-6560
影響因子:3.469
是否開源:No
年文章量:23
錄用比:較易
學(xué)科方向:計算機:人工智能
研究方向:工程技術(shù)
通訊地址:M I T PRESS, 238 MAIN STREET, STE 500, CAMBRIDGE, USA, MA, 02142-1046
官網(wǎng)地址:http://www.mitpressjournals.org/loi/evco
投稿地址:http://www.mitpressjournals.org/page/sub/evco
網(wǎng)友分享經(jīng)驗:約3.0個月

EVOLUTIONARY COMPUTATION雜志中文介紹

這一章對進化計算進行了溫和的介紹,進化優(yōu)化是其中一個最重要的研究領(lǐng)域。與大多數(shù)基于簡化生物聯(lián)系的進化計算的介紹不同,本章強調(diào)了進化計算與人工智能和計算機科學(xué)之間的聯(lián)系。事實上,這本書的中心是解決問題,例如優(yōu)化,使用進化計算技術(shù)。它不涉及生物模型的問題。關(guān)鍵詞進化計算、全局優(yōu)化、組合優(yōu)化、進化學(xué)習(xí)、進化設(shè)計

EVOLUTIONARY COMPUTATION雜志英文介紹

This chapter gives a gentle introduction to evolutionary computation, a field in which evolutionary optimisation is one of the most important research areas. Unlike most introductions to evolutionary computation which are based on its simplified biological link, this chapter emphasises the link between evolutionary computation and artificial intelligence and computer science. In fact, this whole book is centred around problem-solving, e.g., optimisation, using evolutionary computation techniques. It does not deal with the issue of biological modelling.KeywordsEvolutionary computation global optimisation combinatorial optimisation evolutionary learning evolutionary design

EVOLUTIONARY COMPUTATION影響因子

計算機:人工智能領(lǐng)域相關(guān)期刊