用引力搜索增强森林优化算法,实现非线性连续优化

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Najibeh Farzi-Veijouyeh, Neda Matin, Vahideh Sahargahi
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引用次数: 0

摘要

元启发式算法在解决与优化有关的问题方面发挥着重要作用。由于 "无免费午餐 "理论,元启发式方法无法解决与优化相关的问题。因此,不同的元启发式算法可以解决不同的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing forest optimization algorithm with gravitational search for nonlinear continuous optimization
Meta-heuristic algorithms have great role in solving problems related to optimization. Meta-heuristic method cannot solve problems related to optimization due to No Free Lunch theory. Hence differe...
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来源期刊
International Journal of General Systems
International Journal of General Systems 工程技术-计算机:理论方法
CiteScore
4.10
自引率
20.00%
发文量
38
审稿时长
6 months
期刊介绍: International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published. The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.
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