Improved cuckoo search for reliability optimization problems

Authors:
Ehsan Valian;Saeed Tavakoli;Shahram Mohanna;Atiyeh Haghi
Affiliations:
Faculty of Electrical and Computer Engineering, University of Sistan and Baluchestan, Iran;Faculty of Electrical and Computer Engineering, University of Sistan and Baluchestan, Iran;Faculty of Electrical and Computer Engineering, University of Sistan and Baluchestan, Iran;Department of Management, University of Sistan and Baluchestan, Iran
Venue:
Computers and Industrial Engineering
Year:
2013

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Abstract

An efficient approach to solve engineering optimization problems is the cuckoo search algorithm. It is a recently developed meta-heuristic optimization algorithm. Normally, the parameters of the cuckoo search are kept constant. This may result in decreasing the efficiency of the algorithm. To cope with this issue, the cuckoo search parameters should be tuned properly. In this paper, an improved cuckoo search algorithm, enhancing the accuracy and convergence rate of the cuckoo search algorithm, is presented. Then, the performance of the proposed algorithm is tested on some complex engineering optimization problems. They are four well-known reliability optimization problems, a large-scale reliability optimization problem as well as a complex system, which is a 15-unit system reliability optimization problem. Finally, the results are compared with those given by several well-known methods. Simulation results demonstrate the effectiveness of the proposed algorithm.