Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non trivial optimization problem. In this paper a multiobjective genetic algorithm i...
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
A parameter-less adaptive penalty scheme for steady-state genetic algorithms applied to constrained optimization problems is proposed. For each constraint, a penalty parameter is a...
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...