NDLI: Ant colony optimization approach to heterogeneous redundancy in multi-state systems with multi-state components

Content Provider	IEEE Xplore Digital Library
Author	Sharma, V.K. Agarwal, M.
Copyright Year	2009
Description	Author affiliation: Department of Operational Research University of Delhi Delhi, 110007, India (Sharma, V.K.; Agarwal, M.)
Abstract	An algorithm based on ant colony optimization (ACO) has been developed and employed to address the problem of optimum redundancy allocation in series-parallel multi-state systems (MSS) consisting of multi-state components. The objective is to obtain a minimum cost configuration of the system that satisfies the given reliability and weight constraints and the consumer load demand occurring in different operating time intervals. The demand distribution is presented as a piecewise cumulative load curve. The multi-state components are chosen from a list of products available in the market and have their characteristic feeding capacity, reliability, weight and cost. The capacity of the system, thus, strongly depends upon the selection of constituent components. The algorithm allocates heterogeneous redundancy i.e. non-identical components (of maximum two types) are allowed in each subsystem The search of optimal system structure in the ACO algorithm presented in the paper implements a multinomial probability based method to compute exact system reliability index. A penalty function is coupled to handle the constraints and restrict the search near the feasible region. The algorithm is very easy to apply and still obtains very good solutions with promising time efficiency. Two illustrative examples are given to validate the algorithm and to demonstrate its performance.
Starting Page	116
Ending Page	121
File Size	792190
Page Count	6
File Format	PDF
ISBN	9781424449033
DOI	10.1109/ICRMS.2009.5270227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Ant colony optimization Redundancy multi-state system Traveling salesman problems Design optimization Production management heterogeneous redundancy ant colony optimization series-parallel system multi-state components Cost function Reliability Plastics Power generation
Content Type	Text
Resource Type	Article

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