In a cloud environment, there are many tasks running on virtual resources, so this paper presents a modified particle swarm optimization
algorithm applied to optimize task scheduling and virtual resource allocation in cloud computing with two constraints for time, cost, and resource utilization rate.
In this paper, an efficient modified particle swarm optimization
(MPSO) is employed to the synthesis of conformal arrays.
 Chien-Ching Chiu, Chien-Hung Chen & Yu-Sheng Fan, "Image Reconstruction of a Buried Conductor by Modified Particle Swarm Optimization
," IETE Journal of Research, vol.
Modified Particle Swarm Optimization
for Solving Systems of Equations, In: Huang DS., Heutte L., Loog M.
More recently modified particle swarm optimization
algorithms are proposed to feature selection problem, we classify these algorithms based on modifications of the standard PSO as follow:
In the literature , a modified particle swarm optimization
(PSO) algorithm was presented; in this algorithm, the whole search space is divided into several grid cells improved the efficiency of the algorithm.
MKL-SVM Based on Modified Particle Swarm Optimization
This paper presents a modified Particle Swarm Optimization
technique, that solves this problem by embedding feature selection techniques to enhance the classification accuracy.
Mahanti, "A Comparative Study of Modified Particle Swarm Optimization
, Differential Evolution and Artificial Bees Colony Optimization in Synthesis of Circular Array," IEEE International Conference on Power, Control and Embedded Systems, pp.
"Replenishment Decision Support System Based on Modified Particle Swarm Optimization
in a VMI Supply Chain".
Optimal reactive power dispatch based on modified particle swarm optimization
considering voltage stability" in Proc.
A modified particle swarm optimization
algorithm was employed to search for the optimal monitoring networks for the two soil variables.