1157 search results - page 92 / 232 » Solving iterated functions using genetic programming |
132
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
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...
133
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
111
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ICNC
2009
Springer
15 years 10 months ago
2009
Springer
The main purpose of this paper is to propose an incorporating a grammatical evolution (GE) into the genetic algorithm (GA), called GEGA, and apply it to estimate the compressive s...
112
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AAAI
2006
15 years 5 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
132
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IJHPCA
2006
15 years 3 months ago
2006
Leasing computational resources for on-demand computing is now a viable option for providers of network services. Temporary spikes or lulls in demand for a service can be accommod...