A Novel Hybrid Method of Global Optimization Based on the Grey Wolf Optimizer and the Bees Algorithm

被引：9
|
作者：
Konstantinov, S. V. [1 ]
Khamidova, U. K. [2 ]
Sofronova, E. A. [3 ]
机构：
[1] RUDN Univ, 6 Miklukho Maklaya Str, Moscow 117198, Russia
[2] Bauman Moscow State Tech Univ, 5,2 Ya Baumanskaya Str, Moscow 105005, Russia
[3] RAS, Fed Res Ctr Comp Sci & Control, Vavilova Str 44 B 2, Moscow 119333, Russia
来源：
PROCEEDINGS OF THE 13TH INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2018 (INTELS'18) | 2019年 / 150卷
基金：
俄罗斯基础研究基金会;
关键词：
evolutionary algorithms; hybrid algorithms; Bees algorithm; Grey wolf optimizer;
D O I：
10.1016/j.procs.2019.02.081
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new hybrid evolutionary algorithm based on the Grey wolf optimizer and the Bees algorithm is proposed. Embedded hybridization allows combining the strengths of original methods. A comparative analysis of the new hybrid method is performed on benchmark functions. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码：471 / 477
页数：7
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