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» Accelerating convergence towards the optimal pareto front
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GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 12 days ago
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Xiaodong Li
EMO
2001
Springer
132views Optimization» more  EMO 2001»
13 years 11 months ago
Multi-objective Evolutionary Design of Fuzzy Autopilot Controller
Abstract. A multi-objective evolutionary algorithm is used to determine the membership function distribution within the outer loop control system of a non-linear missile autopilot ...
Anna L. Blumel, Evan J. Hughes, Brian A. White
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
14 years 12 days ago
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming
A successful industrial application of a novel type biomass estimator based on Genetic Programming (GP) is described in the paper. The biomass is inferred from other available meas...
Arthur K. Kordon, Elsa Jordaan, Lawrence Chew, Gui...
GECCO
2004
Springer
14 years 12 days ago
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...
Gerulf K. M. Pedersen, David E. Goldberg
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 11 months ago
The maximum hypervolume set yields near-optimal approximation
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Karl Bringmann, Tobias Friedrich