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Pareto archived simulated annealing for single machine job shop scheduling with multiple objectives
conference contribution
posted on 2011-01-01, 00:00 authored by Samer HanounSamer Hanoun, Saeid Nahavandi, H KullIn this paper, the single machine job shop scheduling problem is studied with the objectives of minimizing the tardiness and the material cost of jobs. The simultaneous consideration of these objectives is the multi-criteria optimization problem under study. A metaheuristic procedure based on simulated annealing is proposed to find the approximate Pareto optimal (non-dominated) solutions. The two objectives are combined in one composite utility function based on the decision maker’s interest in having a schedule with weighted combination. In view of the unknown nature of the weights for the defined objectives, a priori approach is applied to search for the non-dominated set of solutions based on the Pareto dominance. The obtained solutions set is presented to the decision maker to choose the best solution according to his preferences. The performance of the algorithm is evaluated in terms of the number of non-dominated schedules generated and the proximity of the obtained non-dominated front to the true Pareto front. Results show that the produced solutions do not differ significantly from the optimal solutions.
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Event
International Multi-Conference on Computing in the Global Information Technology (6th : 2011 : Luxembourg City, Luxembourg)Pagination
99 - 104Publisher
[IARIA]Location
Luxembourg City, LuxembourgPlace of publication
[Luxembourg City, Luxembourg]Start date
2011-06-19End date
2011-06-24ISBN-13
9781612081397Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2011, IARIAEditor/Contributor(s)
C Paleologu, C Mavromoustakis, M MineaTitle of proceedings
ICCGI 2011 : Sixth International Multi-Conference on Computing in the Global Information TechnologyUsage metrics
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