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1999
Springer
15 years 2 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
ACMSE
2006
ACM
15 years 3 months ago
Using genetic algorithms to generate test plans for functionality testing
Like in other fields, computer products (applications, hardware, etc.), before being marketed, require some level of testing to verify whether they meet their design and function...
Francisca Emanuelle Vieira, Francisco Martins, Raf...
VLSID
2000
IEEE
94views VLSI» more  VLSID 2000»
15 years 2 months ago
A Genetic Algorithm for the Synthesis of Structured Data Paths
The technique presented here achieves simultaneous optimization of schedule time and data path component cost within a structured data path architecture, using a genetic algorithm...
Chittaranjan A. Mandal, R. M. Zimmer
BIOSYSTEMS
2008
129views more  BIOSYSTEMS 2008»
14 years 10 months ago
Reconstruction of DNA sequences using genetic algorithms and cellular automata: Towards mutation prediction?
Change of DNA sequence that fuels evolution is, to a certain extent, a deterministic process because mutagenesis does not occur in an absolutely random manner. So far, it has not ...
Ch. Mizas, Georgios Ch. Sirakoulis, Vasilios A. Ma...
ECML
2004
Springer
15 years 1 months ago
Population Diversity in Permutation-Based Genetic Algorithm
Abstract. This paper presents an empirical study of population diversity measure and adaptive control of diversity in the context of a permutation-based algorithm for Traveling Sal...
Kenny Qili Zhu, Ziwei Liu