This paper proposes a decomposition-based approach to exactly solve the multi-objective Redundancy Allocation Problem for series-parallel systems. Redundancy allocation problem is a form of reliability optimization and has been the subject of many prior studies. The majority of these earlier studies treat redundancy allocation problem as a single objective problem maximizing the system reliabil...

The Redundancy Allocation Problem (RAP) is well-known in the field of reliability optimization. In this paper, RAP investigated assuming that distribution time to failure components has form an Erlang with a time-dependent rate parameter and considering choice redundancy for each subsystem can be none, active, standby or mixed. A genetic algorithm used solve problem optimal allocation. To analy...

A redundancy allocation problem (RAP) 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 functi...

In this study, a new strategic model called Markov-based cold standby combined with components mixing (RRAP-CM-MCCS), is proposed to improve system reliability. The optimization method used here simplified swarm (SSO), in which SSO adopts multi-role resource sharing strategy provide the diverse required by RRAP-CM-MCCS. diversity lies providing every component subsystem its own failure rate as ...

The redundancy allocation problem involves the selection of components and the appropriate levels of redundancy to maximize reliability or minimize cost of a series-parallel system given design constraints. Different optimization approaches have been previously applied to the problem including dynamic programming, integer programming, and mixed integer and nonlinear programming. However these a...

In this paper, a hybrid TS-DE algorithm based on Tabu search and differential evolution algorithm is proposed to solve the reliability redundancy optimization problem. A differential evolution algorithm is embedded in Tabu search algorithm. TS is applied for searching solutions space, and DE is used for generating neighborhood solutions. The advantages of both algorithms are considered simultan...

System reliability analysis and optimization are important to efficiently utilize available resources and to develop an optimal system design architecture. System reliability optimization has been solved by using optimization techniques including meta-heuristics. Meanwhile, the development of meta-heuristics has been an active research field of the reliability optimization wherein the redundanc...

considering the increasingly high attention to quality, promoting the reliability of products during designing process has gained significant importance. in this study, we consider one of the current models of the reliability science and propose a non-linear programming model for redundancy allocation in the series-parallel systems according to the redundancy strategy and considering the assump...

The bat algorithm is a recently proposed meta-heuristic algorithm. Usually in solving the problem of optimization, the position of virtual bats is updated by flying speed, which decreases efficiency of the algorithm and accuracy of the solution. This paper has improved the location update strategy and individual selection strategy of bat algorithm, then puts forward an improved bat algorithm. T...

The reliability design is related to the performance analysis of engineering systems. The reliability redundancy optimization problems involve selection of components with multiple choices and redundancy levels that produce maximum benefits, can be subject to the cost, weight, volume and reliability constraints. Classical mathematical methods fail in handling non-convexities and nonsmoothness i...