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EGC
2005
Springer
15 years 7 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
15 years 7 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 7 months ago
Comparing multicast and newscast communication in evolving agent societies
This paper investigates the effects of two different communication protocols within an artificial society, where communication and cooperation is necessary to survive. Communicat...
A. E. Eiben, Martijn C. Schut, T. Toma
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 7 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 7 months ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman
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