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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
14 years 1 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
EPS
1997
Springer
14 years 25 days ago
Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems
This paper describes a GA for job shop scheduling problems. Using the Giffler and Thompson algorithm, we created two new operators, THX crossover and mutation, which better trans...
Shyh-Chang Lin, Erik D. Goodman, William F. Punch ...
ICEC
1994
68views more  ICEC 1994»
13 years 10 months ago
Extended Forking Genetic Algorithm for Order Representation (O-FGA)
There are two types of GAs with difference of their representation of strings. They are the binary coded GA and the order-based GA. We've already proposed a new type of binar...
Shigeyoshi Tsutsui, Yoshiji Fujimoto, Isao Hayashi
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 1 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
FLAIRS
2001
13 years 10 months ago
Introducing Local Optimization for Effective Initialization and Crossover of Genetic Decision Trees
We introduce a new genetic operator, Reduction, that rectifies decision trees not correct syntactically and at the same time removes the redundant sections within, while preservin...
Arindam Basak, Sudeshna Sarkar