2008
003
Graph-Theoretic Measure for Active iGAs: Interaction Sizing and Parallel Evaluation Ensemble
Llorà, X., Yasui, N. I., Goldberg, D. E. (2008)TR No.: 2008003 | Download PDF | Download PS
Abstract: Since their inception, active interactive genetic algorithms have successfully combat user evaluation fatigue induced by repetitive evaluation. Their success originates on building models of the user preferences based on partial-order graphs to create a numeric synthetic fitness. Active interactive genetic algorithms can easily reduce up to seven times the number of evaluations required from the […]
Posted: March 10th, 2008 under interactive genetic algorithms. Comments: none