Genetic algorithm for non-linear mixed integer programming problems and its applications
Computers and Industrial Engineering
A linear approximation for redundant reliability problems with multiple component choices
Computers and Industrial Engineering
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
Immune algorithms-based approach for redundant reliability problems with multiple component choices
Computers in Industry - Special issue: Application of genetics algorithms in industry
Recent Advances in Optimal Reliability Allocation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Computers and Operations Research
Improved cuckoo search for reliability optimization problems
Computers and Industrial Engineering
Computers and Operations Research
Artificial bee colony algorithm: a survey
International Journal of Advanced Intelligence Paradigms
An approach for analyzing the reliability of industrial systems using soft-computing based technique
Expert Systems with Applications: An International Journal
Computers and Operations Research
Journal of Intelligent Manufacturing
A hybrid cuckoo search and genetic algorithm for reliability-redundancy allocation problems
Computers and Industrial Engineering
Mathematics and Computers in Simulation
A PSO algorithm for constrained redundancy allocation in multi-state systems with bridge topology
Computers and Industrial Engineering
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This paper proposed a penalty guided artificial bee colony algorithm (ABC) to solve the reliability redundancy allocation problem (RAP). The redundancy allocation problem involves setting reliability objectives for components or subsystems in order to meet the resource consumption constraint, e.g. the total cost. RAP has been an active area of research for the past four decades. The difficulty that one is confronted with the RAP is the maintenance of feasibility with respect to three nonlinear constraints, namely, cost, weight and volume related constraints. In this paper nonlinearly mixed-integer reliability design problems are investigated where both the number of redundancy components and the corresponding component reliability in each subsystem are to be decided simultaneously so as to maximize the reliability of the system. The reliability design problems have been studied in the literature for decades, usually using mathematical programming or heuristic optimization approaches. To the best of our knowledge the ABC algorithm can search over promising feasible and infeasible regions to find the feasible optimal/near-optimal solution effectively and efficiently; numerical examples indicate that the proposed approach performs well with the reliability redundant allocation design problems considered in this paper and computational results compare favorably with previously-developed algorithms in the literature.