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ICHIT
2009
Springer
14 years 2 months ago
A genetic algorithm approach for a constrained employee scheduling problem as applied to employees at mall type shops
In this application of artificial intelligence to a real-world problem, the constrained scheduling of employee resourcing for a mall type shop is solved by means of a genetic algo...
Adrian Brezulianu, Monica Fira, Lucian Fira
EUROGP
2005
Springer
104views Optimization» more  EUROGP 2005»
14 years 1 months ago
mGGA: The meta-Grammar Genetic Algorithm
A novel Grammatical Genetic Algorithm, the meta-Grammar Genetic Algorithm (mGGA) is presented. The mGGA borrows a grammatical representation and the ideas of modularity and reuse f...
Michael O'Neill, Anthony Brabazon
ECAL
2005
Springer
14 years 1 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
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
13 years 5 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro
EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
14 years 1 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...