Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm

Particularly, this paper focuses on the FCM learning using three different population based meta- heuristics: particle swarm optimization (PSO), genetic algorithm (GA) and a

We used an algorithm called Multiple Objective Particle Swarm Optimization with Crowding Distance and Roulette Wheel to generate the non-dominated

Popular optimization techniques, as genetic algorithm (GA) and particle swarm optimization (PSO), were used to design the shape of the ground plane in order to improve

Particle swarm optimization for optimal design of broadband multilayer microwave absorber for wide angle of incidence. Eberhart, ‘‘Particle swarm optimization,’’ in

Abstract — In this work, it is investigated an improved chaos particle swarm optimization (IC-PSO) scheme to refine the quality of the algorithm solutions

The techniques discussed in this paper are Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA),

A new IPSO-SA algorithm based on an improved particle swarm optimization and a modified simulated annealing was proposed to find the cardinality constrained efficient frontier.

Approach: Non-Dominated Sorting Particle Swarm Optimization algorithm (NSPSO) based approach is used in the design of multiobjective PID controller to find the constant