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CEC
2007
IEEE
15 years 8 months ago
Self-adaptation of mutation distribution in evolutionary algorithms
— This paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpo...
Renato Tinós, Shengxiang Yang
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 5 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
ACL
1997
15 years 3 months ago
An Algorithm for Generating Referential Descriptions with Flexible Interfaces
Most algorithms dedicated to the generation of referential descriptions widely suffer from a fundamental problem: they make too strong assumptions about adjacent processing compon...
Helmut Horacek
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
15 years 8 months ago
Convergence rate for stochastic consensus algorithms with time-varying noise statistics: Asymptotic normality
— This paper studies consensus seeking over noisy networks with time-varying noise statistics. Stochastic approximation type algorithms can ensure consensus in mean square and wi...
Minyi Huang
CDC
2008
IEEE
215views Control Systems» more  CDC 2008»
15 years 8 months ago
A coverage algorithm for a class of non-convex regions
— The paper describes a framework for solving the coverage problem for a class of non-convex domains. In [1] we have shown how a diffeomorphism can be used to transform a non-con...
Carlos H. Caicedo-Nunez, Milos Zefran