Title :
Determination of Pruned Pareto Sets for the Multi-Objective System Redundancy Allocation Problem
Author :
Kulturel-Konak, Sadan ; Coit, David W.
Author_Institution :
Manage. Inf. Syst., Pennsylvania State Univ. Berks, Reading, PA
Abstract :
In this paper, a new methodology is presented to solve multi-objective system redundancy allocation problems. A tabu search meta-heuristic approach is used to initially find the entire Pareto set, and then a Monte-Carlo simulation provides a decision maker with a pruned set of Pareto solutions based on decision maker´s predefined objective function preferences. We are aiming to create a bridge between Pareto optimality and single solution approaches
Keywords :
Monte Carlo methods; Pareto optimisation; decision making; operations research; redundancy; search problems; set theory; Monte-Carlo simulation; decision making; meta-heuristic approach; multiobjective system redundancy allocation problem; pruned Pareto sets; tabu search; Algorithm design and analysis; Bridges; Computational intelligence; Decision making; Evolutionary computation; Genetic algorithms; Management information systems; Simulated annealing; Systems engineering and theory; Utility theory;
Conference_Titel :
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0702-8
DOI :
10.1109/MCDM.2007.369118
