H.6.4. Clustering
1. A Multi-Objective Approach to Fuzzy Clustering using ITLBO Algorithm

P. Shahsamandi Esfahani; A. Saghaei

Volume 5, Issue 2 , Summer 2017, , Pages 307-317

Abstract
  Data clustering is one of the most important areas of research in data mining and knowledge discovery. Recent research in this area has shown that the best clustering results can be achieved using multi-objective methods. In other words, assuming more than one criterion as objective functions for clustering ...  Read More

H.3. Artificial Intelligence
2. PSO for multi-objective problems: Criteria for leader selection and uniformity distribution

H. Motameni

Volume 4, Issue 1 , Winter 2016, , Pages 67-76

Abstract
  This paper proposes a method to solve multi-objective problems using improved Particle Swarm Optimization. We propose leader particles which guide other particles inside the problem domain. Two techniques are suggested for selection and deletion of such particles to improve the optimal solutions. The ...  Read More