Document Type : Research Paper



A redundancy allocation problem is a well-known NP-hard problem that
involves the selection of elements and redundancy levels to maximize the
system reliability under various system-level constraints. In many practical
design situations, reliability apportionment is complicated because of the
presence of several conflicting objectives that cannot be combined into a
single-objective function. A stele communications, manufacturing and power
systems are becoming more and more complex, while requiring short
developments schedules and very high reliability, it is becoming increasingly
important to develop efficient solutions to the RAP. In this paper, a new
hybrid multi-objective competition algorithm (HMOCA)based on
competitive algorithm (CA) and genetic algorithm (GA) is proposed for the
first time in multi-objective redundancy allocation problems. In the multiobjective
formulation, the system reliability is maximized while the cost and
volume of the system are minimized simultaneously. Additionally, ay RSM
is employed to tune the CA parameters. The proposed HMOCA is validated
by some examples with analytical solutions. It shows its superior
performance compared to a NSGA-II and PAES algorithms. Finally, the
conclusion is given


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