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» Modeling Speculators with Genetic Programming
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CEC
2010
IEEE
14 years 1 months ago
A hybrid genetic algorithm for rescue path planning in uncertain adversarial environment
— Efficient vehicle path planning in hostile environment to carry out rescue or tactical logistic missions remains very challenging. Most approaches reported so far relies on key...
Jean Berger, Khaled Jabeur, Abdeslem Boukhtouta, A...
TSP
2008
123views more  TSP 2008»
14 years 9 months ago
A Rough Programming Approach to Power-Balanced Instruction Scheduling for VLIW Digital Signal Processors
The focus of this paper is on VLIW instruction scheduling that minimizes the variation of power consumed by the processor during the execution of a target program. We use rough set...
Shu Xiao, Edmund Ming-Kit Lai
61
Voted
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
89
Voted
JDCTA
2010
159views more  JDCTA 2010»
14 years 4 months ago
QSPR Study Of Mineral Crystal Lattice Energy Based On Gene Expression Programming
In this study, gene expression programming (GEP), a novel genetic algorithm, is used to develop quantitative model as potential screening mechanism for mineral crystal lattice ene...
Yuntao Zhang, Wenbin Dai, Zhengjun Cheng
109
Voted
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving fuzzy decision tree structure that adapts in real-time
A fuzzy logic algorithm has been developed that automatically allocates electronic attack (EA) resources distributed over different platforms in real-time. The controller must be ...
James F. Smith III