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GECCO
2008
Springer
107views Optimization» more  GECCO 2008»
13 years 8 months ago
Reference point based multi-objective evolutionary algorithms for group decisions
Jella Pfeiffer, Uli Golle, Franz Rothlauf
ICAI
2003
13 years 8 months ago
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques
Many real-world search and optimization problems naturally involve constraint handling. Recently, quite a few heuristic methods were proposed to solve the nonlinear constrained op...
Zhenyu Yan, Wei Zhi, Lishan Kang
CEC
2010
IEEE
13 years 7 months ago
Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm
— In this paper, we illustrate the use of a reference point based many-objective particle swarm optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our fram...
Upali K. Wickramasinghe, Robert Carrese, Xiaodong ...
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
13 years 11 months ago
Reference point based multi-objective optimization using evolutionary algorithms
: Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto-optimal solutions in the past decade and beyond. Alth...
Kalyanmoy Deb, J. Sundar
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 8 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke