Biogeography-based optimization for constrained optimization problems

被引：66

作者：

Boussaid, Ilhem ^{[1
]}

Chatterjee, Amitava ^{[2
]}

Siarry, Patrick ^{[3
]}

Ahmed-Nacer, Mohamed ^{[1
]}

机构：

[1] USTHB, Elect Engn & Comp Sci Dept, Algiers 16111, Algeria

[2] Jadavpur Univ, Dept Elect Engn, Kolkata 700032, W Bengal, India

[3] Univ Paris Est Creteil Val de Marne, LiSSi, EA 3956, F-94010 Creteil, France

来源：

COMPUTERS & OPERATIONS RESEARCH | 2012年 / 39卷 / 12期

关键词：

Biogeography-based optimization; Constrained optimization; Selection procedure; EVOLUTIONARY ALGORITHMS; STRATEGY;

D O I：

10.1016/j.cor.2012.04.012

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Biogeography-based optimization (BBO) has been recently proposed as a viable stochastic optimization algorithm and it has so far been successfully applied in a variety of fields, especially for, unconstrained optimization problems. The present paper shows how BBO can be applied for constrained optimization problems, where the objective is to find a solution for a given objective function, subject to both inequality and equality constraints. To solve such problems, the present work proposes three new variations of BBO. Each new version uses different update strategies, and each is tested on several benchmark functions. A successful implementation of an additional selection procedure is also proposed in this work which is based on the feasibility-based rule to preserve fitter individuals for subsequent generations. Our extensive experimentations successfully demonstrate the usefulness of all these modifications proposed for the BBO algorithm that can be suitably applied for solving different types of constrained optimization problems. (c) 2012 Elsevier Ltd. All rights reserved.

引用

页码：3293 / 3304

页数：12

共 50 条

[1] An improved hybrid biogeography-based optimization algorithm for constrained optimization problems
Long, Wen
Liang, Ximing
Xu, Songjin
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL, MECHANICAL AND MANUFACTURING ENGINEERING, 2015, 27 : 710 - 714
[2] Constrained Optimization based on Epsilon Constrained Biogeography-Based Optimization
Bi, Xiaojun
Wang, Jue
2012 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 2, 2012, : 369 - 372
[3] Blended biogeography-based optimization for constrained optimization
Ma, Haiping
Simon, Dan
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2011, 24 (03) : 517 - 525
[4] Constrained Laplacian Biogeography-Based Optimization for Economic Load Dispatch Problems
Garg, Vanita
Deep, Kusum
Padhee, Narayana P.
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY, 2022, 6 (02) : 483 - 496
[5] Constrained Laplacian Biogeography-Based Optimization for Economic Load Dispatch Problems
Vanita Garg
Kusum Deep
Narayana P. Padhee
Process Integration and Optimization for Sustainability, 2022, 6 : 483 - 496
[6] Constrained Laplacian biogeography-based optimization algorithm
Garg V.
Deep K.
International Journal of System Assurance Engineering and Management, 2017, 8 (Suppl 2) : 867 - 885
[7] Constrained Biogeography-Based Optimization for Invariant Set Computation
Shah, Arpit
Simon, Dan
Richter, Hanz
2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 2639 - 2644
[8] Oppositional Biogeography-Based Optimization for Combinatorial Problems
Ergezer, Mehmet
Simon, Dan
2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 1496 - 1503
[9] On the Convergence of Biogeography-Based Optimization for Binary Problems
Ma, Haiping
Simon, Dan
Fei, Minrui
MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
[10] Biogeography-Based Optimization
Simon, Dan
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2008, 12 (06) : 702 - 713

← 1 2 3 4 5 →