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141
Voted
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 9 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
138
Voted
GECCO
2003
Springer
15 years 8 months ago
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenb...
132
Voted
CORR
2007
Springer
131views Education» more  CORR 2007»
15 years 3 months ago
How to use the Scuba Diving metaphor to solve problem with neutrality ?
Abstract. We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality which exists in ...
Philippe Collard, Sébastien Vérel, M...
113
Voted
ACCV
2010
Springer
14 years 10 months ago
Human Pose Estimation Using Exemplars and Part Based Refinement
In this paper, we proposed a fast and accurate human pose estimation framework that combines top-down and bottom-up methods. The framework consists of an initialization stage and a...
Yanchao Su, Haizhou Ai, Takayoshi Yamashita, Shiho...
162
Voted
CEC
2011
IEEE
14 years 3 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow