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WSC
2004
14 years 11 months ago
Optimal Computing Budget Allocation for Multi-Objective Simulation Models
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation efficiency, ranking and selection techniques are o...
Loo Hay Lee, Ek Peng Chew, Suyan Teng, David Golds...
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
14 years 11 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
EMO
2006
Springer
182views Optimization» more  EMO 2006»
15 years 1 months ago
Multi-objective Pole Placement with Evolutionary Algorithms
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
Gustavo Sánchez, Minaya Villasana, Miguel S...
CORR
2008
Springer
91views Education» more  CORR 2008»
14 years 10 months ago
Randomised Variable Neighbourhood Search for Multi Objective Optimisation
Various local search approaches have recently been applied to machine scheduling problems under multiple objectives. Their foremost consideration is the identification of the set ...
Martin Josef Geiger
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
15 years 11 months ago
MOOLAP: Towards Multi-Objective OLAP
Aggregation is among the core functionalities of OLAP systems. Frequently, such queries are issued in decision support systems to identify interesting groups of data. When more tha...
Shyam Antony, Ping Wu, Divyakant Agrawal, Amr El A...