Multi-objective system design optimization considering environmental emissions

Olivia Carolina Moreno, University of Texas at El Paso

Abstract

The well-known reliability optimization problem, the redundancy allocation problem (RAP) involves the simultaneous selection of system components and a design level configuration that can meet several design constraints in order to optimize the predefined objective function(s). The RAP has been predominantly solved as a single objective optimization problem with the reliability of the system to be maximized or system design cost to be minimized. When considered as a multiple objective reliability optimization problem, the system reliability is maximized and the cost and weight of the system are minimized. In this work, the RAP was formulated as a multiple objective optimization problem with the system reliability to be maximized and the cost and environmental carbon dioxide emissions to be minimized. A well-known Multi-objective Evolutionary Algorithm (MOEA) named Non-dominated Sorting Genetic Algorithm II (NSGA-II) was used to solve this multiple objective redundancy allocation problem (MORAP). ^

Subject Area

Operations Research

Recommended Citation

Moreno, Olivia Carolina, "Multi-objective system design optimization considering environmental emissions" (2012). ETD Collection for University of Texas, El Paso. AAI1513113.
http://digitalcommons.utep.edu/dissertations/AAI1513113

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