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75
Voted
CEC
2010
IEEE
14 years 8 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
87
Voted
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 3 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
GECCO
2003
Springer
15 years 2 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...
HM
2010
Springer
133views Optimization» more  HM 2010»
14 years 10 months ago
A Hybrid LS-CP Solver for the Shifts and Breaks Design Problem
The problem of designing workforce shifts and break patterns is a relevant employee scheduling problem that arises in many contexts, especially in service industries. The issue is ...
Luca Di Gaspero, Johannes Gärtner, Nysret Mus...
70
Voted
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
14 years 10 months ago
Genetic programming for finite algebras
We describe the application of genetic programming (GP) to a problem in pure mathematics, in the study of finite algebras. We document the production of human-competitive results...
Lee Spector, David M. Clark, Ian Lindsay, Bradford...