GECCO
2006
Springer
14 years 7 days ago
2006
Springer
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
In this study, we investigate self-organizing social hierarchies in multi-agent systems. Agents occupy the nodes of a smallworld network and interact exclusively with other agents...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
A second-generation autonomous music composition tool is developed using Genetic Algorithms. The composition is conducted in two Stages. The first Stage generates and identifies m...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
In this paper, we propose a simple genetic algorithm for finding the optimal conformation of a protein using the three-dimensional square HP model. A backtracking procedure is use...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
In this paper, we describe a GA to solve for the orientation and lens characteristics of a projector, given images of a dome screen illuminated by the projector. We use synthetic ...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
In this paper, we show the usefulness of multiobjective genetic rule selection as a postprocessing procedure in data mining for pattern classification problems. First we extract a...