2 results listed
We propose a new clustering ranking based multiobjective evolutionary algorithm. The algorithm uses decision maker’s preferences to reduce the search space and obtain a final set of preferred Pareto-optimal solutions. A new clustering ranking operator using Hierarchical Clustering on Principle Components (HCPC) and K-means methods is developed. We also develop a new crossover operator. The algorithm is implemented on several problems. The work is still in progress.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Erdi Dasdemir
B. Y. ÖZCAN
A multiobjective bus transportation problem is studied in this research. Due to the complexity of the problem, a multiobjective evolutionary algorithmbased solution approach is developed. The solution approach is implemented on a real world problem. The preliminary results are promising. The research is still in progress.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Erdi Dasdemir
M.C. TESTIK
O.M. TESTIK
C. TUNCER SAKAR