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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 2 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 2 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
14 years 2 months ago
An evolutionary multiobjective approach to design highly non-linear Boolean functions
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...
Hernán E. Aguirre, Hiroyuki Okazaki, Yasush...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 2 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
The effect of user interaction mechanisms in multi-objective IGA
In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA. The inte...
Alexandra Melike Brintrup, Hideyuki Takagi
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