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» A Multiobjective Frontier Search Algorithm
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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 7 months ago
Integrating user preferences with particle swarms for multi-objective optimization
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
Upali K. Wickramasinghe, Xiaodong Li
EMO
2009
Springer
140views Optimization» more  EMO 2009»
15 years 10 months ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
CCE
2008
15 years 6 months ago
Multiobjective optimization of multipurpose batch plants using superequipment class concept
We present a novel approach for solving different design problems related to single products in multipurpose batch plants: the selection of one production line out of several avai...
Andrej Mosat, Laurent Cavin, Ulrich Fischer 0002, ...
EMO
2009
Springer
181views Optimization» more  EMO 2009»
15 years 10 months ago
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison
Particle Swarm Optimization (PSO) has received increased attention in the optimization research community since its first appearance. Regarding multi-objective optimization, a con...
Juan José Durillo, José Garcí...
EMO
2003
Springer
81views Optimization» more  EMO 2003»
15 years 11 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...