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JGO
2008
98views more  JGO 2008»
13 years 5 months ago
Optimality and duality for nonsmooth multiobjective fractional programming with mixed constraints
We consider nonsmooth multiobjective fractional programming problems with inequality and equality constraints. We establish the necessary and sufficient optimality conditions under...
S. Nobakhtian
HEURISTICS
2006
197views more  HEURISTICS 2006»
13 years 5 months ago
Bucket elimination for multiobjective optimization problems
Multiobjective optimization deals with problems involving multiple measures of performance that should be optimized simultaneously. In this paper we extend bucket elimination (BE),...
Emma Rollon, Javier Larrosa
CEC
2007
IEEE
13 years 11 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
14 years 6 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...
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
13 years 10 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello