A coevolutionary differential evolution with harmony search for reliability-redundancy optimization

被引：68

作者：

Wang, Ling ^{[1
]}

Li, Ling-po ^{[1
]}

机构：

[1] Tsinghua Univ, TNList, Dept Automat, Beijing 100084, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 05期

基金：

美国国家科学基金会;

关键词：

Reliability-redundancy optimization; Harmony search; Differential evolution; Coevolution; ALLOCATION PROBLEM; ANT COLONY; ALGORITHM; SYSTEMS;

D O I：

10.1016/j.eswa.2011.11.012

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Solving reliability-redundancy optimization problems via meta-heuristic algorithms has attracted increasing attention in recent years. In this paper, an effective coevolutionary differential evolution with harmony search algorithm (CDEHS) is proposed to solve the reliability-redundancy optimization problem by dividing the problem into a continuous part and an integer part. In CDEHS, two populations evolve simultaneously and cooperatively, where one population for the continuous part evolves by means of differential evolution while another population for the integer part evolves by means of harmony search. After half of the whole evolving process, the integer part stops evolving and provides the best solution to the other part for further evolving with differential evolution. Simulations results based on three typical problems and comparisons with some existing algorithms show that the proposed CDEHS is effective, efficient and robust for solving the reliability-redundancy optimization problem. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：5271 / 5278

页数：8

共 26 条

[1] IAs based approach for reliability redundancy allocation problems [J].

Chen, Ta-Cheng .

APPLIED MATHEMATICS AND COMPUTATION, 2006, 182 (02) :1556-1567

[2] Self-Organizing Migrating Strategies Applied to Reliability-Redundancy Optimization of Systems [J].

Coelho, Leandro Dos Santos .

IEEE TRANSACTIONS ON RELIABILITY, 2009, 58 (03) :501-510

[3] An efficient particle swarm approach for mixed-integer programming in reliability-redundancy optimization applications [J].

Coelho, Leandro dos Santos .

RELIABILITY ENGINEERING & SYSTEM SAFETY, 2009, 94 (04) :830-837

[4] An efficient constraint handling method for genetic algorithms [J].

Deb, K .

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2000, 186 (2-4) :311-338

[5]

Geem ZW, 2009, STUD COMPUT INTELL, V191, P113

[6] A new heuristic optimization algorithm: Harmony search [J].

Geem, ZW ;

Kim, JH ;

Loganathan, GV .

SIMULATION, 2001, 76 (02) :60-68

[7] Soft computing approach for reliability optimization: State-of-the-art survey [J].

Gen, Mitsuo ;

Yun, YoungSu .

RELIABILITY ENGINEERING & SYSTEM SAFETY, 2006, 91 (09) :1008-1026

[8] RELIABILITY OPTIMIZATION OF SYSTEMS BY A SURROGATE-CONSTRAINTS ALGORITHM [J].

HIKITA, M ;

NAKAGAWA, Y ;

NAKASHIMA, K ;

NARIHISA, H .

IEEE TRANSACTIONS ON RELIABILITY, 1992, 41 (03) :473-480

[9] Genetic algorithms for reliability design problems [J].

Hsieh, YC ;

Chen, TC ;

Bricker, DL .

MICROELECTRONICS AND RELIABILITY, 1998, 38 (10) :1599-1605

[10] Reliability-redundancy optimization using simulated annealing algorithms [J].

Kim, Ho-Gyun ;

Bae, Chang-Ok ;

Park, Dong-Jun .

JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING, 2006, 12 (04) :354-+

← 1 2 3 →