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» A parameter-less genetic algorithm
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GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
15 years 9 months ago
Biogeography-based optimization with blended migration for constrained optimization problems
Biogeography-based optimization (BBO) is a new evolutionary algorithm based on the science of biogeography. We propose two extensions to BBO. First, we propose blended migration. ...
Haiping Ma, Dan Simon
EVOW
2001
Springer
15 years 9 months ago
An Evolutionary Annealing Approach to Graph Coloring
This paper presents a new heuristic algorithm for the graph coloring problem based on a combination of genetic algorithms and simulated annealing. Our algorithm exploits a novel cr...
Dimitris Fotakis, Spiridon D. Likothanassis, Stama...
DIS
2006
Springer
15 years 8 months ago
A Novel Framework for Discovering Robust Cluster Results
We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various cl...
Hye-Sung Yoon, Sang-Ho Lee, Sung-Bum Cho, Ju Han K...
WIA
2000
Springer
15 years 8 months ago
Fast Implementations of Automata Computations
Abstract. In 6], G. Myers describes a bit-vector algorithm to compute the edit distance between strings. The algorithm converts an input sequence to an output sequence in a paralle...
Anne Bergeron, Sylvie Hamel
113
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GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
15 years 5 months ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for geneti...
Gregor Papa