A linear approximation for redundant reliability problems with multiple component choices
Computers and Industrial Engineering
Multi-level redundancy optimization in series systems
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
An efficient heuristic for reliability design optimization problems
Computers and Operations Research
Solving reliability redundancy allocation problems using an artificial bee colony algorithm
Computers and Operations Research
Recent Advances in Optimal Reliability Allocation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy global optimization of complex system reliability
IEEE Transactions on Fuzzy Systems
On the computational complexity of reliability redundancy allocation in a series system
Operations Research Letters
An approach for analyzing the reliability of industrial systems using soft-computing based technique
Expert Systems with Applications: An International Journal
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 uses a penalty guided strategy based on an artificial bee colony algorithm (PGBC) to solve the redundancy allocation problem (RAP) in reliability series-parallel systems. The penalty strategy was designed to eliminate the equalities in constraints and formulate new objective operators which guarantee feasibility within a reasonable execution time. The PGBC is used to deal with two kinds of RAPs with a mix of components. In the first example, the RAPs are designed to find the appropriate mix of components and redundancies within a system in order to either minimize the cost in the context of a minimum level of reliability, or maximize reliability subject to a maximum cost and weight. The second example involves RAPs of multi-state series-parallel reliability structures, wherein each subsystem can consist of a maximum of two types of redundant components. The objective is to minimize the total investment cost of system design while satisfying system reliability constraints and the consumer load demands. There are five multi-state system design problems which have been solved for illustration in this example. The experimental results show that the PGBC can significantly outperform other existing methods in the literature with less cost, higher reliability, and a significantly shorter computational time.