Adaptive Hybrid Genetic Algorithm with Modified Cuckoo Search for Reliability Optimization Problem

In this paper, an adaptive hybrid genetic algorithm with modified cuckoo search (MCS-AHGA) is proposed for effectively solving reliability optimization problems. For the proposed MCS-AHGA, a modified cuckoo search (MCS) which improves a weakness of conventional cuckoo search (CS) is adapted, and the genetic algorithm with an adaptive search scheme (AGA) is used. Hybridizing the MCS and the AGA can reinforce search quality and speed toward global optimal solution rather than hybridizing conventional CS and GA does. In numerical experiment, three types of reliability optimization problems are used for comparing the performance of the proposed MCS-AHGA with those of various conventional competing approaches including CS and GA. The experimental result proves that the proposed MCS-AHGA outperforms the competing conventional algorithms.

[1]  Mitsuo Gen,et al.  Performance Analysis of Adaptive Genetic Algorithms with Fuzzy Logic and Heuristics , 2003, Fuzzy Optim. Decis. Mak..

[2]  Ehsan Valian,et al.  Solving Reliability Optimization Problems by Cuckoo Search , 2014 .

[3]  Xin-She Yang,et al.  Cuckoo Search and Firefly Algorithm: Theory and Applications , 2013 .

[4]  A. Saidane,et al.  Optimal Reliability Design: Fundamentals and Applications , 2001 .

[5]  Mitsuo Gen,et al.  GA-based reliability design: state-of-the-art survey , 1999 .

[6]  Alice E. Smith,et al.  Efficiently Solving the Redundancy Allocation Problem Using Tabu Search , 2003 .

[7]  Mitsuo Gen,et al.  Genetic algorithms and engineering optimization , 1999 .

[8]  Saeed Tavakoli,et al.  Improved cuckoo search for reliability optimization problems , 2013, Comput. Ind. Eng..

[9]  R. Tavakkoli-Moghaddam,et al.  Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm , 2008, Reliab. Eng. Syst. Saf..

[10]  A. T. Johns,et al.  Environmental/economic dispatch using fuzzy logic controlled genetic algorithms , 1997 .

[11]  N. Jawahar,et al.  A hybrid cuckoo search and genetic algorithm for reliability-redundancy allocation problems , 2013, Comput. Ind. Eng..

[12]  Leandro dos Santos Coelho,et al.  An efficient particle swarm approach for mixed-integer programming in reliability-redundancy optimization applications , 2009, Reliab. Eng. Syst. Saf..

[13]  Lalit M. Patnaik,et al.  Adaptive probabilities of crossover and mutation in genetic algorithms , 1994, IEEE Trans. Syst. Man Cybern..

[14]  Kai-Ling Mak,et al.  An Adaptive Genetic Algorithm for Manufacturing Cell Formation , 2000 .

[15]  Way Kuo,et al.  Reliability optimization of coherent systems , 2000, IEEE Trans. Reliab..

[16]  Mitsuo Gen,et al.  Reliability Optimization Design Using a Hybridized Genetic Algorithm with a Neural-Network Technique , 2001 .

[17]  Liqun Gao,et al.  An improved particle swarm optimization algorithm for reliability problems. , 2011, ISA transactions.

[18]  Mitsuo Gen,et al.  Various hybrid methods based on genetic algorithm with fuzzy logic controller , 2003, J. Intell. Manuf..

[19]  Mitsuo Gen,et al.  Reliability Optimization Design for Complex Systems by Hybrid GA with Fuzzy Logic Control and Local Search , 2002, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[20]  Jianhua Wu,et al.  An effective global harmony search algorithm for reliability problems , 2011, Expert Syst. Appl..

[21]  Way Kuo,et al.  Multi-Path Approach for Reliability-Redundancy Allocation Using a Scaling Method , 2005, J. Heuristics.

[22]  V. Ravi,et al.  Nonequilibrium simulated-annealing algorithm applied to reliability optimization of complex systems , 1997 .

[23]  Arthur M. Geoffrion,et al.  An Improved Implicit Enumeration Approach for Integer Programming , 1969, Oper. Res..

[24]  Xin-She Yang,et al.  Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[25]  Manju Agarwal,et al.  Ant colony approach to constrained redundancy optimization in binary systems , 2010 .

[26]  尹 泳秀,et al.  Study on adaptive hybrid genetic algorithm and its applications to engineering design problems , 2005 .

[27]  Mitsuo Gen,et al.  Soft computing approach for reliability optimization: State-of-the-art survey , 2006, Reliab. Eng. Syst. Saf..

[28]  Mitsuo Gen,et al.  Adaptive Genetic Local Search Algorithms for Solving Reliability Optimization Problems , 2004 .

[29]  Bing Li,et al.  A novel stochastic optimization algorithm , 2000, IEEE Trans. Syst. Man Cybern. Part B.