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» A Multiobjective Frontier Search Algorithm
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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 9 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»
14 years 1 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
13 years 9 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»
14 years 1 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»
14 years 2 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...