H.3.2.4. Education
1. S3PSO: Students’ Performance Prediction Based on Particle Swarm Optimization

Seyed M. H. Hasheminejad; M. Sarvmili

Volume 7, Issue 1 , Winter 2019, , Pages 77-96

Abstract
  Nowadays, new methods are required to take advantage of the rich and extensive gold mine of data given the vast content of data particularly created by educational systems. Data mining algorithms have been used in educational systems especially e-learning systems due to the broad usage of these systems. ...  Read More

F.2.7. Optimization
2. Non-linear Fractional-Order Chaotic Systems Identification with Approximated Fractional-Order Derivative based on a Hybrid Particle Swarm Optimization-Genetic Algorithm Method

M. Kosari; M. Teshnehlab

Volume 6, Issue 2 , Summer 2018, , Pages 365-373

Abstract
  Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, ...  Read More

H.6.2.2. Fuzzy set
3. Direct adaptive fuzzy control of flexible-joint robots including actuator dynamics using particle swarm optimization

M. Moradizirkohi; S. Izadpanah

Volume 5, Issue 1 , Winter 2017, , Pages 137-147

Abstract
  In this paper a novel direct adaptive fuzzy system is proposed to control flexible-joints robot including actuator dynamics. The design includes two interior loops: the inner loop controls the motor position using proposed approach while the outer loop controls the joint angle of the robot using a PID ...  Read More

H.3. Artificial Intelligence
4. 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

Timing analysis
5. Fuzzy clustering of time series data: A particle swarm optimization approach

Z. Izakian; M. Mesgari

Volume 3, Issue 1 , Winter 2015, , Pages 39-46

Abstract
  With rapid development in information gathering technologies and access to large amounts of data, we always require methods for data analyzing and extracting useful information from large raw dataset and data mining is an important method for solving this problem. Clustering analysis as the most commonly ...  Read More

6. Solution of Multi-Objective optimal reactive power dispatch using pareto optimality particle swarm optimization method

Syed Abbas Taher; Mojtaba Pakdel

Volume 2, Issue 1 , Winter 2014, , Pages 39-52

Abstract
  For multi-objective optimal reactive power dispatch (MORPD), a new approach is proposed where simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are achieved. Optimal settings of continuous and discrete control ...  Read More