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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 1 months ago
Genetic multi-step search in interpolation and extrapolation domain
The deterministic Multi-step Crossover Fusion (dMSXF) is an improved crossover method of MSXF which is a promising method of JSP, and it shows high availability in TSP. Both of th...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
ESIAT
2009
IEEE
13 years 5 months ago
Path Planning Based on Dynamic Sub-population Pseudo-Parallel Genetic Algorithm
Through analysis of present pseudo-parallel genetic algorithm, propose a new dynamic sub-population pseudo-parallel genetic algorithm. It changes the condition that the magnitude o...
Lei Li, Yuemei Ren, Changyu Yang
CORR
2004
Springer
81views Education» more  CORR 2004»
13 years 7 months ago
Optimizing genetic algorithm strategies for evolving networks
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
Matthew J. Berryman, Andrew Allison, Derek Abbott
RECOMB
2006
Springer
14 years 7 months ago
Algorithms to Distinguish the Role of Gene-Conversion from Single-Crossover Recombination in the Derivation of SNP Sequences in
Meiotic recombination is a fundamental biological event and one of the principal evolutionary forces responsible for shaping genetic variation within species. In addition to its fu...
Yun S. Song, Zhihong Ding, Dan Gusfield, Charles H...