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GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
15 years 7 months ago
Distributed Probabilistic Model-Building Genetic Algorithm
In this paper, a new model of Probabilistic Model-Building Genetic Algorithms (PMBGAs), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design var...
Tomoyuki Hiroyasu, Mitsunori Miki, Masaki Sano, Hi...
GECCO
2003
Springer
15 years 7 months ago
Exploring a Two-Population Genetic Algorithm
In a two-market genetic algorithm applied to a constrained optimization problem, two ‘markets’ are maintained. One market establishes fitness in terms of the objective functio...
Steven Orla Kimbrough, Ming Lu, David Harlan Wood,...
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
15 years 7 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
EVOW
2010
Springer
15 years 7 months ago
Markov Chain Models for Genetic Algorithm Based Topology Control in MANETs
Abstract. We analyze the convergence properties of our force based genetic algorithm(fga) as a decentralized topology control mechanism distributed among software agents. fga guide...
Cem Safak Sahin, Stephen Gundry, Elkin Urrea, M. &...
EMO
2001
Springer
102views Optimization» more  EMO 2001»
15 years 7 months ago
Aerodynamic Shape Optimization of Supersonic Wings by Adaptive Range Multiobjective Genetic Algorithms
This paper describes an application of Adaptive Range Multiobjective Genetic Algorithms (ARMOGAs) to aerodynamic wing optimization. The objectives are to minimize transonic and sup...
Daisuke Sasaki, Masashi Morikawa, Shigeru Obayashi...