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GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 10 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
PRL
2006
95views more  PRL 2006»
15 years 4 months ago
Evolving visual sonar: Depth from monocular images
To recover depth from images, the human visual system uses many monocular depth cues, which vision research has only begun to explore. Because a given image can have many possible...
Martin C. Martin
TAINN
2005
Springer
15 years 10 months ago
An Evolutionary Local Search Algorithm for the Satisfiability Problem
Satisfiability problem is an NP-complete problem that finds itself or its variants in many combinatorial problems. There exist many complete algorithms that give successful results...
Levent Aksoy, Ece Olcay Gunes
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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 10 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
IJIT
2004
15 years 6 months ago
Memetic Algorithm Based Path Planning for a Mobile Robot
In this paper, the problem of finding the optimal collision free path for a mobile robot, the path planning problem, is solved using an advanced evolutionary algorithm called memet...
Neda Shahidi, Hadi Esmaeilzadeh, Marziye Abdollahi...