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» Introduction to genetic algorithms
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TSMC
2002
93views more  TSMC 2002»
15 years 1 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...
GPEM
2011
14 years 8 months ago
Expert-driven genetic algorithms for simulating evaluation functions
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an appropr...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
CEC
2008
IEEE
15 years 8 months ago
A genetic algorithm for optimizing hierarchical menus
— Hierarchical menus are widely used as a standard user interface in modern applications that use GUIs. The performance of the menu depends on many factors: structure, layout, co...
Shouichi Matsui, Seiji Yamada
103
Voted
CORR
2004
Springer
168views Education» more  CORR 2004»
15 years 1 months ago
Estimating Genome Reversal Distance by Genetic Algorithm
Sorting by reversals is an important problem in inferring the evolutionary relationship between two genomes. The problem of sorting unsigned permutation has been proven to be NP-ha...
Andy Auyeung, Ajith Abraham
107
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CEC
2005
IEEE
15 years 7 months ago
FPGA segmented channel routing using genetic algorithms
A genetic algorithm approach for segmented channel routing in field programmable gate arrays (FPGA's) is presented in this paper. The FPGA segmented channel routing problem (F...
Lipo Wang, Lei Zhou, Wen Liu