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» Distributed genetic evolution in WSN
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PPSN
2010
Springer
14 years 9 months ago
Using Co-solvability to Model and Exploit Synergetic Effects in Evolution
Abstract. We introduce, analyze, and experimentally examine co-solvability, an ability of a solution to solve a pair of fitness cases (tests). Based on this concept, we devise a co...
Krzysztof Krawiec, Pawel Lichocki
SPDP
1991
IEEE
15 years 3 months ago
Asynchronous parallel search by the parallel genetic algorithm
The parallel genetic algorithm (PGA) is a prototype of a new kind of a distributed algorithm. It is based on a parallel search by individuals all of which have the complete proble...
Heinz Mühlenbein
100
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GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
15 years 22 days ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
IJDMB
2007
119views more  IJDMB 2007»
14 years 11 months ago
Simulation study in Probabilistic Boolean Network models for genetic regulatory networks
: Probabilistic Boolean Network (PBN) is widely used to model genetic regulatory networks. Evolution of the PBN is according to the transition probability matrix. Steady-state (lon...
Shuqin Zhang, Wai-Ki Ching, Michael K. Ng, Tatsuya...
PPSN
2004
Springer
15 years 5 months ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli