Availability allocation to repairable systems with genetic algorithms: a multi-objective formulation
作者： Charles Elegbede , Kondo Adjallah
DOI: 10.1016/J.RESS.2003.08.001
关键词: Quality control and genetic algorithms 、 Continuous optimization 、 Optimization problem 、 Computer science 、 Meta-optimization 、 Quadratic assignment problem 、 Multi-objective optimization 、 Combinatorial optimization 、 Algorithm 、 Mathematical optimization 、 Metaheuristic
摘要: Abstract This paper describes a methodology based on genetic algorithms (GA) and experiments plan to optimize the availability cost of reparable parallel-series systems. It is NP-hard problem multi-objective combinatorial optimization, modeled with continuous discrete variables. By using weighting technique, transformed into single-objective optimization whose constraints are then relaxed by exterior penalty technique. We propose search solution through GA, parameters adjusted A numerical example used assess method.
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