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2005
Springer
14 years 1 months ago
Average Reward Timed Games
We consider real-time games where the goal consists, for each player, in maximizing the average amount of reward he or she receives per time unit. We consider zero-sum rewards, so ...
B. Thomas Adler, Luca de Alfaro, Marco Faella
GECCO
2003
Springer
415views Optimization» more  GECCO 2003»
14 years 25 days ago
Evolutionary Algorithms for Two Problems from the Calculus of Variations
Abstract. A brachistochrone is the path along which a weighted particle falls most quickly from one point to another, and a catenary is the smooth curve connecting two points whose...
Bryant A. Julstrom
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
14 years 1 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
GECCO
2006
Springer
163views Optimization» more  GECCO 2006»
13 years 11 months ago
The quadratic multiple knapsack problem and three heuristic approaches to it
The quadratic multiple knapsack problem extends the quadratic knapsack problem with K knapsacks, each with its own capacity Ck. A greedy heuristic fills the knapsacks one at a tim...
Amanda Hiley, Bryant A. Julstrom
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...