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EMO
2006
Springer
122views Optimization» more  EMO 2006»
13 years 11 months ago
Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems
Many-objective optimization refers to optimization problems with a number of objectives considerably larger than two or three. In this paper, a study on the performance of the Fast...
Mario Köppen, Kaori Yoshida
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
14 years 1 months ago
Alternative techniques to solve hard multi-objective optimization problems
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
Ricardo Landa Becerra, Carlos A. Coello Coello, Al...
HUMO
2007
Springer
13 years 11 months ago
Efficient Upper Body Pose Estimation from a Single Image or a Sequence
We propose a method to find candidate 2D articulated model configurations by searching for locally optimal configurations under a weak but computationally manageable fitness functi...
Matheen Siddiqui, Gérard G. Medioni
GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
13 years 11 months ago
A Hybrid Genetic Algorithm for the Quadratic Assignment Problem
A heuristic technique that combines a genetic algorithm with a Tabu Search algorithm is applied to the Quadratic Assignment Problem (QAP). The hybrid algorithm improves the result...
Manuel Vázquez, L. Darrell Whitley