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» Evolutionary multiobjective optimization
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CEC
2010
IEEE
13 years 4 months ago
A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers
— This work investigates the effects of the periodization of local and global multi-objective search algorithms. To this, we introduce a model for periodization and define a new...
Paul Kaufmann, Tobias Knieper, Marco Platzner
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
CEC
2008
IEEE
13 years 11 months ago
Solution diversity in multi-objective optimization: A study in virtual reality
— Solution diversity in evolutionary multi-objective optimization is considered. Although the Pareto front is ubiquitously used for the multi-objective optimization, the method o...
Özer Ciftcioglu, Michael S. Bittermann
10
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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 6 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
ICIC
2007
Springer
13 years 11 months ago
On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms
Abstract. In this paper, a general framework of quantum-inspired multiobjective evolutionary algorithms is proposed based on the basic principles of quantum computing and general s...
Zhiyong Li, Zhe Li, Günter Rudolph