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ECML
2007
Springer
14 years 2 months ago
Multi-objective Genetic Programming for Multiple Instance Learning
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
Amelia Zafra, Sebastián Ventura
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 1 months ago
Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization
Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non trivial optimization problem. In this paper a multiobjective genetic algorithm i...
Eduardo José Solteiro Pires, José An...
PDPTA
1996
13 years 9 months ago
Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network
This paper describes a parallelization of the sequential dynamic programming method for solving a 2D knapsack problem where multiples of n rectangular objects are optimally packed...
Darrell R. Ulm, Johnnie W. Baker
JIFS
2002
107views more  JIFS 2002»
13 years 7 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...
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