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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 3 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...
ICDAR
2003
IEEE
14 years 2 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
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 ...
Marisa E. Morita, Robert Sabourin, Flávio B...
GECCO
2003
Springer
111views Optimization» more  GECCO 2003»
14 years 2 months ago
An Adaptive Penalty Scheme for Steady-State Genetic Algorithms
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...
Helio J. C. Barbosa, Afonso C. C. Lemonge
EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
14 years 1 months ago
GSA: scheduling and allocation using genetic algorithm
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 ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
14 years 1 months ago
Genetic algorithms to optimise the time to make stock market investment
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...