A novel global harmony search algorithm for reliability problems
Computers and Industrial Engineering
Short communication: An effective global harmony search algorithm for reliability problems
Expert Systems with Applications: An International Journal
Solving reliability redundancy allocation problems using an artificial bee colony algorithm
Computers and Operations Research
Fuzzy global optimization of complex system reliability
IEEE Transactions on Fuzzy Systems
Multi-objective reliability-redundancy allocation problem using particle swarm optimization
Computers and Industrial Engineering
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The main goal of the present paper is to present a two phase approach for solving the reliability-redundancy allocation problems (RRAP) with nonlinear resource constraints. In the first phase of the proposed approach, an algorithm based on artificial bee colony (ABC) is developed to solve the allocation problem while in the second phase an improvement of the solution as obtained by this algorithm is made. Four benchmark problems in the reliability-redundancy allocation and two reliability optimization problems have been taken to demonstrate the approach and it is shown by comparison that the solutions by the new proposed approach are better than the solutions available in the literature.