An efficient two phase approach for solving reliability–redundancy allocation problem using artificial bee colony technique

2013 ◽  
Vol 40 (12) ◽  
pp. 2961-2969 ◽  
Author(s):  
Harish Garg ◽  
Monica Rani ◽  
S.P. Sharma
Keyword(s):  
Artificial Bee Colony ◽  
Allocation Problem ◽  
Two Phase ◽  
Redundancy Allocation Problem ◽  
Redundancy Allocation ◽  
Phase Approach ◽  
Bee Colony

An Artificial Bee Colony Algorithm for Multiobjective Redundancy Allocation Problem in Repairable System

2014 ◽  
Vol 519-520 ◽  
pp. 1401-1404 ◽  
Author(s):  
Qi Fang He ◽  
Zu Tong Wang ◽  
Ming Fa Zheng ◽  
Long Yan
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Multiple Objectives ◽  
Allocation Problem ◽  
Selection Strategy ◽  
Repairable System ◽  
Redundancy Allocation Problem ◽  
Redundancy Allocation ◽  
Bee Colony ◽  
Tournament Selection

This paper proposed a multiobjective artificial bee colony algorithm (MOABC) to solve the reliability redundancy allocation problem (RAP) with multiple objectives, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. The number of redundancy components is to be decided so as to maximize the availability and minimize the designing cost of the system simultaneously. It shows that the proposed algorithm can solve multiobjective redundancy allocation problem efficiently.

Efficiently Solving the Redundancy Allocation Problem Using Tabu Search

2003 ◽  
Vol 35 (6) ◽  
pp. 515-526 ◽  
Author(s):  
Sadan Kulturel-Konak ◽  
Alice E. Smith ◽  
David W. Coit
Keyword(s):  
Tabu Search ◽  
Allocation Problem ◽  
Redundancy Allocation Problem ◽  
Redundancy Allocation
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