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GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
13 years 11 months ago
IGAP: interactive genetic algorithm peer to peer
We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Throu...
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
14 years 1 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
EUROGP
2001
Springer
14 years 2 months ago
Polymorphism and Genetic Programming
Abstract. Types have been introduced to Genetic Programming (GP) by researchers with different motivation. We present the concept of types in GP and introduce a typed GP system, Po...
Tina Yu
ICGA
1993
140views Optimization» more  ICGA 1993»
13 years 11 months ago
Expected Allele Coverage and the Role of Mutation in Genetic Algorithms
It is part of the traditional lore of genetic algorithms that low mutation rates lead to efficient search of the solution space, while high mutation rates result in diffusion of s...
David M. Tate, Alice E. Smith
CEC
2010
IEEE
13 years 8 months ago
EDDIE for investment opportunities forecasting: Extending the search space of the GP
Abstract-- In this paper we present a new version of a GPbased financial forecasting tool called EDDIE. The novelty of this new version (EDDIE 8), is its enlarged search space, whe...
Michael Kampouridis, Edward Tsang