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Information Journal Paper

Title

GENETIC ALGORITHM AND SIMULATED ANNEALING FOR REDUNDANCY ALLOCATION PROBLEM WITH COLD-STANDBY STRATEGY

Pages

  65-72

Abstract

 This paper presents a new mathematical model for a redundancyallocation problem (RAP) withcold-standby redundancy strategy and multiple component choices. The applications of the proposed model arecommon in electrical power, transformation, telecommunication systems, etc. Manystudies have concentrated onone type of time-to-failure, butin thispaper, two components of time-to-failures which follow hypo-exponential and exponential distributionare investigated. The goal of the RAP is to select available components and redundancy level for each subsystem for maximizing system reliability under cost and weight constraints. Sincethe proposed model belongs to NP-hard class, we proposed two metaheuristic algorithms; namely, SIMULATED ANNEALING and GENETIC ALGORITHM to solve it. In addition, a numerical example is presented to demonstrate the application of the proposed solution methodology.

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  • Cite

    APA: Copy

    KARIMI, AIDA, SHARIFI, MANI, & CHAMBARI, AMIRHOSSAIN. (2011). GENETIC ALGORITHM AND SIMULATED ANNEALING FOR REDUNDANCY ALLOCATION PROBLEM WITH COLD-STANDBY STRATEGY. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 4(2 (8)), 65-72. SID. https://sid.ir/paper/624774/en

    Vancouver: Copy

    KARIMI AIDA, SHARIFI MANI, CHAMBARI AMIRHOSSAIN. GENETIC ALGORITHM AND SIMULATED ANNEALING FOR REDUNDANCY ALLOCATION PROBLEM WITH COLD-STANDBY STRATEGY. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;4(2 (8)):65-72. Available from: https://sid.ir/paper/624774/en

    IEEE: Copy

    AIDA KARIMI, MANI SHARIFI, and AMIRHOSSAIN CHAMBARI, “GENETIC ALGORITHM AND SIMULATED ANNEALING FOR REDUNDANCY ALLOCATION PROBLEM WITH COLD-STANDBY STRATEGY,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 4, no. 2 (8), pp. 65–72, 2011, [Online]. Available: https://sid.ir/paper/624774/en

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