Proposed a Hybrid Multi-Objective competitive Algorithm for solving the redundancy allocation reliability problem

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.