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» A New Crossover Operator for Genetic Algorithms
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GECCO
2005
Springer
200views Optimization» more  GECCO 2005»
14 years 1 months ago
An extension of vose's markov chain model for genetic algorithms
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
Anna Paszynska
EUROGP
2006
Springer
136views Optimization» more  EUROGP 2006»
13 years 11 months ago
Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics
Abstract. To analyse various properties of the search process of genetic programming it is useful to quantify the distance between two individuals. Using operator-based distance me...
Leonardo Vanneschi, Steven Gustafson, Giancarlo Ma...
IWANN
2001
Springer
14 years 3 days ago
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
This paper looks upon the standard genetic algorithm as an artificial self-organizing process. With the purpose to provide concepts that make the algorithm more open for scalabili...
Michael Affenzeller
GECCO
2000
Springer
200views Optimization» more  GECCO 2000»
13 years 11 months ago
Chemical Crossover
During chemical reactions, molecules interact to produce new molecules. Some of the reaction mechanisms are very close to the way gene combine to produce new genes. Like the class...
Hugues Bersini
EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
13 years 11 months ago
GSA: scheduling and allocation using genetic algorithm
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait