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NICSO
2010
Springer
15 years 10 months ago
Accelerated Genetic Algorithms with Markov Chains
t] Based on the mutation matrix formalism and past statistics of genetic algorithm, a Markov Chain transition probability matrix is introduced to provide a guided search for comple...
Guan Wang, Chen Chen, Kwok Yip Szeto
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
15 years 4 months ago
Improved analysis methods for crossover-based algorithms
We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the ...
Benjamin Doerr, Madeleine Theile
CEC
2005
IEEE
16 years 3 days ago
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
GECCO
2003
Springer
155views Optimization» more  GECCO 2003»
15 years 11 months ago
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
Kwong-Sak Leung, Yong Liang
ESCIENCE
2006
IEEE
15 years 10 months ago
A Differential Evolution Based Algorithm to Optimize the Radio Network Design Problem
In this paper we present a Differential Evolution based algorithm used to solve the Radio Network Design (RND) problem. This problem consists in determining the optimal locations ...
Silvio Priem-Mendes, Juan Antonio Gómez Pul...