Comprehensive learning pigeon-inspired optimization with tabu list

被引：1

作者：

Shang XIANG ^{[1
]}

Lining XING ^{[1
,2
]}

Ling WANG ^{[3
]}

Kai ZOU ^{[4
]}

机构：

[1] College of Systems Engineering, National University of Defense Technology

[2] College of Engineering, Shanghai Polytechnic University

[3] Department of Automation, Tsinghua University

[4] School of Public Administration, Xiangtan University

来源：

ScienceChina(InformationSciences) | 2019年 / 62卷 / 07期

关键词：

pro; Comprehensive learning pigeon-inspired optimization with tabu list;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

<正>Dear editor,During the last decade, population-based algorithms have been extensively used to solve multimodal, discontinuous, non-convex, and nondifferentiable optimization problems. These algorithms search for the best solution by applying some operators and strategies over a set (population) of potential solutions (individuals). All those operators or strategies follow one principle:balancing

引用

页码：99 / 101

页数：3

共 5 条

[1]

Gaussian pigeon-inspired optimization approach to orbital spacecraft formation reconfiguration[J]. Zhang Shujian,Duan Haibin.Chinese Journal of Aeronautics. 2015(01)

[2]

Target detection approach for UAVs via improved Pigeon-inspired Optimization and Edge Potential Function[J] . Cong Li,Haibin Duan.Aerospace Science and Technology . 2014

[3]

Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning[J] . Haibin Duan,Peixin Qiao.International Journal of Intelligent Computing and Cybernetics . 2014 (1)

[4]

Exploration and exploitation in evolutionary algorithms[J] . Matej ?repin?ek,Shih-Hsi Liu,Marjan Mernik.ACM Computing Surveys (CSUR) . 2013 (3)

[5]

On Evolutionary Exploration and Exploitation[J] . A.E. Eiben,C.A. Schippers.Fundamenta Informaticae . 1998 (1-4)

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