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NICSO
2010
Springer
13 years 9 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
ECAL
2005
Springer
13 years 10 months ago
On the Mean Convergence Time of Multi-parent Genetic Algorithms Without Selection
This paper investigates genetic drift in multi-parent genetic algorithms (MPGAs). An exact model based on Markov chains is proposed to formulate the variation of gene frequency. Th...
Chuan-Kang Ting
ASPDAC
2000
ACM
92views Hardware» more  ASPDAC 2000»
13 years 9 months ago
Genetic algorithm accelerator GAA-II
We have developed a new GA hardware called GAA-I (Genetic Algorithm Accelerator-I), in which the crossover operator to be applied to each individual was dynamically selected during...
Shin'ichi Wakabayashi, Tetsushi Koide, Nayoshi Tos...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
13 years 9 months ago
Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching
A large and reliable DNA codeword library is key to the success of DNA based computing. Searching for sets of reliable DNA codewords is an NP-hard problem, which can take days on ...
Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu
AUSAI
2005
Springer
13 years 10 months ago
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum
: In a canonical genetic algorithm, the reproduction operators (crossover and mutation) are random in nature. The direction of the search carried out by the GA system is driven pur...
Luke Temby, Peter Vamplew, Adam Berry