Biogeography-Based Optimization Combined with Evolutionary Strategy and Immigration Refusal

被引：73

作者：

Du, Dawei ^{[1
]}

Simon, Dan ^{[1
]}

Ergezer, Mehmet ^{[1
]}

机构：

[1] Cleveland State Univ, Dept Elect & Comp Engn, Cleveland, OH 44115 USA

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年

关键词：

Biogeography-based optimization; heuristic algorithm; evolutionary strategy; immigration refusal;

D O I：

10.1109/ICSMC.2009.5346055

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Biogeography-based optimization (BBO) is a recently developed heuristic algorithm which has shown impressive performance on many well known benchmarks. In order to improve BBO, this paper incorporates distinctive features from other successful heuristic algorithms into BBO. In this paper, features from evolutionary strategy (ES) are used for BBO modification. Also, a new immigration refusal approach is added to BBO. After the modification of BBO, F-tests and T-tests are used to demonstrate the differences between different implementations of BBOs.

引用

页码：997 / 1002

页数：6

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