Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
A Bi-objective Virtual-force Local Search PSO Algorithm for Improving Sensing Deployment in Wireless Sensor Network

Vahid Kiani; Mahdi Imanparast

Volume 11, Issue 1 , January 2023, , Pages 1-12


  In this paper, we present a bi-objective virtual-force local search particle swarm optimization (BVFPSO) algorithm to improve the placement of sensors in wireless sensor networks while it simultaneously increases the coverage rate and preserves the battery energy of the sensors. Mostly, sensor nodes ...  Read More

Hybrid Particle Swarm Optimization with Ant-Lion Optimization: Experimental in Benchmarks and Applications

Z. Hassani; M. Alambardar Meybodi

Volume 9, Issue 4 , November 2021, , Pages 583-595


  A major pitfall in the standard version of Particle Swarm Optimization (PSO) is that it might get stuck in the local optima. To escape this issue, a novel hybrid model based on the combination of PSO and AntLion Optimization (ALO) is proposed in this study. The proposed method, called H-PSO-ALO, uses ...  Read More

Hybrid PSO-SA Approach for Feature Weighting in Analogy-Based Software Project Effort Estimation

Z. Shahpar; V. Khatibi; A. Khatibi Bardsiri

Volume 9, Issue 3 , July 2021, , Pages 329-340


  Software effort estimation plays an important role in software project management, and analogy-based estimation (ABE) is the most common method used for this purpose. ABE estimates the effort required for a new software project based on its similarity to previous projects. A similarity between the projects ...  Read More

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

Seyed M. H. Hasheminejad; M. Sarvmili

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


  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
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 , July 2018, , Pages 365-373


  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
Direct adaptive fuzzy control of flexible-joint robots including actuator dynamics using particle swarm optimization

M. Moradizirkohi; S. Izadpanah

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


  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
PSO for multi-objective problems: Criteria for leader selection and uniformity distribution

H. Motameni

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


  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
Fuzzy clustering of time series data: A particle swarm optimization approach

Z. Izakian; M. Mesgari

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


  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

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

Syed Abbas Taher; Mojtaba Pakdel

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


  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