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» Incremental evolution strategy for function optimization
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IJHIS
2006
104views more  IJHIS 2006»
13 years 4 months ago
Incremental evolution strategy for function optimization
This paper presents a novel evolutionary approach for function optimization Incremental Evolution Strategy (IES). Two strategies are proposed. One is to evolve the input variables...
Sheng Uei Guan, Wenting Mo
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
13 years 9 months ago
Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed
In this paper, we benchmark the (1+1) Evolution Strategy (ES) with one-fifth success rule which is one of the first and simplest adaptive search algorithms proposed for optimiza...
Anne Auger
KI
2009
Springer
13 years 11 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
13 years 10 months ago
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
Abstract. To improve the efficiency of the currently known evolutionary algorithms, we have proposed two complementary efficiency speed-up strategies in our previous research work ...
Kwong-Sak Leung, Yong Liang
ISDA
2005
IEEE
13 years 10 months ago
Multiobjective Optimization Using Adaptive Pareto Archived Evolution Strategy
This paper proposes a novel adaptive representation for evolutionary multiobjective optimization for solving a stock modeling problem. The standard Pareto Achieved Evolution Strat...
Mihai Oltean, Crina Grosan, Ajith Abraham, Mario K...