Talks and Poster Presentations (with Proceedings-Entry):
B. Li, Z. Zhuang:
"Genetic Algorithm based-on the Quantum Probability";
Talk: International Conference on Intelligent Data Engineering and Automated Learning (IDEAL),
- 2002-08-14; in: "Proceedings of the Third International Conference on "Intelligent Data Engineering and Automated Learning-IDEAL 2002",
A genetic algorithm based on the quantum probability representation
(GAQPR) is proposed, in which each individual evolves independently; a new crossover operator is designed to integrate searching processes of multiple indi-viduals into a more efficient global searching process; a new mutation operator is also proposed and analyzed. Optimization capability of GAQPR is studied via experiments on function optimization, results of experiments show that, for multi-peak optimization problem, GAQPR is more efficient than GQA.
Created from the Publication Database of the Vienna University of Technology.