Physical programming and conjoint analysis-based redundancy allocation in multistate systems: A Taguchi embedded algorithm selection and control (TAS&C) approach

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Volumn 223, Issue 3, 2009, Pages 215-232

  Kumar, V V ^a   Tripathi, M ^a   Pandey, M K ^b   Tiwari, M K ^c  

^a NATIONAL INSTITUTE OF FOUNDRY AND FORGE TECHNOLOGY   (India)

^b UNIVERSITY OF ALBERTA   (Canada)

^c INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial immune system (AIS); Conjoint analysis; Genetic algorithm (GA); Particle swarm optimization (PSO); Physical programming; Random search techniques; Series parallel system; Taguchi methodology

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM (AIS); CONJOINT ANALYSIS; PHYSICAL PROGRAMMING; RANDOM SEARCH TECHNIQUES; SERIES-PARALLEL SYSTEM; TAGUCHI METHODOLOGY;

COMPUTER SOFTWARE SELECTION AND EVALUATION; EMBEDDED SYSTEMS; GENETIC ALGORITHMS; IMMUNOLOGY; INFORMATION ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; PARALLEL ALGORITHMS; QUALITY ASSURANCE; REDUNDANCY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70349546106     PISSN: 1748006X     EISSN: 17480078     Source Type: Journal    
DOI: 10.1243/1748006XJRR210     Document Type: Article

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