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EVOW
2004
Springer
15 years 3 months ago
Improving Edge Recombination through Alternate Inheritance and Greedy Manner
Genetic Algorithms (GAs) are well-known heuristic algorithms and have been widely applied to solve combinatorial problems. Edge recombination is one of the famous crossovers design...
Chuan-Kang Ting
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba
EPIA
2007
Springer
15 years 3 months ago
Improving Evolutionary Algorithms with Scouting
The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an ...
Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey ...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 2 months ago
Dense and Switched Modular Primitives for Bond Graph Model Design
This paper suggests dense and switched modular primitives for a bond-graph-based GP design framework that automatically synthesizes designs for multi-domain, lumped parameter dynam...
Kisung Seo, Zhun Fan, Jianjun Hu, Erik D. Goodman,...
EVOW
2004
Springer
15 years 1 months ago
Evolving Regular Expression-Based Sequence Classifiers for Protein Nuclear Localisation
A number of bioinformatics tools use regular expression (RE) matching to locate protein or DNA sequence motifs that have been discovered by researchers in the laboratory. For exam...
Amine Heddad, Markus Brameier, Robert M. MacCallum