ICAISC
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Multigame playing agents are programs capable of autonomously learning to play new, previously unknown games. In this paper, we concentrate on the General Game Playing Co...
CEC
2007
IEEE
13 years 9 months ago
2007
IEEE
— Cultured natural cortical neurons form functional networks through a complex set of developmental steps during the first weeks in vitro. The dynamic behavior of the network in...
CEC
2007
IEEE
2007
IEEE
Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems
13 years 9 months ago
Abstract— In this paper, we propose the concept of the flexibility of design variables to Pareto-optimal solutions in MultiObjective Optimization problems. In addition, we intro...
CEC
2007
IEEE
13 years 9 months ago
2007
IEEE
— Efficient discovery of lowest level building blocks is a fundamental requirement for a successful genetic algorithm. Although considerable effort has been directed at techniqu...
CEC
2007
IEEE
13 years 9 months ago
2007
IEEE
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
CEC
2007
IEEE
13 years 9 months ago
2007
IEEE
CEC
2007
IEEE
13 years 9 months ago
2007
IEEE
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
CEC
2007
IEEE
13 years 9 months ago
2007
IEEE
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...
BVAI
2007
Springer
13 years 9 months ago
2007
Springer
This paper presents the implementation of ARQ-PROP II, a limited-depth propositional reasoner, via the compilation of its specification into an exact formulation using the satyrus...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...