Please use this identifier to cite or link to this item: https://doi.org/10.1109/WSC.2011.6148096
Title: Multi-objective compass for discrete optimization via simulation
Authors: Lee, L.H. 
Chew, E.P. 
Li, H.
Issue Date: 2011
Source: Lee, L.H.,Chew, E.P.,Li, H. (2011). Multi-objective compass for discrete optimization via simulation. Proceedings - Winter Simulation Conference : 4065-4074. ScholarBank@NUS Repository. https://doi.org/10.1109/WSC.2011.6148096
Abstract: Due to its wide application in many industries, discrete optimization via simulation (DOvS) has recently attracted more research interests. As industry systems become more complex, advanced search algorithms for DOvS are desired with higher expectation towards efficiency. In this research work, we combine the ideas of single-objective Convergent Optimization via Most-Promising-Area Stochastic Search (COMPASS) with the concept of Pareto optimality to propose multi-objective (MO) MO-COMPASS for solving DOvS problems with two or more objectives. Numerical experiments are illustrated to show its ability to achieve high efficiency. © 2011 IEEE.
Source Title: Proceedings - Winter Simulation Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/72354
ISBN: 9781457721083
ISSN: 08917736
DOI: 10.1109/WSC.2011.6148096
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