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AAAI
1998
15 years 2 days ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 20 days ago
Stochastic local search in continuous domains: questions to be answered when designing a novel algorithm
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
Petr Posik
CEC
2010
IEEE
14 years 9 months ago
A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers
— This work investigates the effects of the periodization of local and global multi-objective search algorithms. To this, we introduce a model for periodization and define a new...
Paul Kaufmann, Tobias Knieper, Marco Platzner
GECCO
2000
Springer
131views Optimization» more  GECCO 2000»
15 years 2 months ago
A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization
The integration of genetic algorithms (GAs) and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utili...
Setsuya Kurahashi, Takao Terano
FLAIRS
2001
15 years 3 days ago
Introducing Local Optimization for Effective Initialization and Crossover of Genetic Decision Trees
We introduce a new genetic operator, Reduction, that rectifies decision trees not correct syntactically and at the same time removes the redundant sections within, while preservin...
Arindam Basak, Sudeshna Sarkar