Results 281 to 290 of about 269,671 (328)

Comparison of PSO with the Hybrid Algorithms MOORA-PSO and DA-PSO for Decision Making

Advances in Modelling and Analysis B, 2023
Ramírez-Ochoa Dynhora-Danheyda, Pérez-Domínguez Luis Asunción, Martínez-Gómez Erwin Adán   +2 more
openaire   +1 more source

Edge-PSO: A recombination operator based PSO algorithm for solving TSP

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
We propose a novel approach for solving TSP using PSO, namely edge-PSO by intelligent use of the edge recombination Operator. We observed that the edge recombination operator which was originally proposed for Genetic Algorithm can be used as a velocity operator for Particle Swarm Optimization so as to direct the search effectively to better corners of ...
Vaisakh Shaj, P. M. Akhil, S. Asharaf
openaire   +1 more source

Parallel co-processor for PSO

International Journal of High Performance Systems Architecture, 2011
The particle swarm optimisation or PSO is a heuristic based on a population of individuals, in which the candidates for a solution of the problem at hand evolve through a simulation process of a social adaptation simplified model. Combining robustness, efficiency and simplicity, PSO has gained great popularity as many successful applications are ...
N.A. Rogé, rio De Moraes Calazan, Nadia Nedjah, Luiza De Macedo Mourelle   +3 more
openaire   +1 more source

PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems

Applied Soft Computing, 2018
The development of the meta-heuristic algorithms for solving the optimization problems and constrained engineering problems is one of the topics of interest to researchers in recent years.
S. N. Chegini, A. Bagheri, F. Najafi
semanticscholar   +1 more source

MOEA/D with DE and PSO: MOEA/D-DE+PSO

2011
Hybridization is one of the important research area in evolutionary multiobjective optimization (EMO).It is a method that incorporate good merits of multiple techniques aim at to enhance the search ability of EMO algorithm. In this chapter, we combine two well-known search algorithms, DE and PSO, and developed algorithm known as MOEA/D-DE+PSO.
openaire   +1 more source

PSO under an Adaptive Scheme

2005 IEEE Congress on Evolutionary Computation, 2005
This paper presents an attempt to transform PSO into a self-adaptive algorithm based on specific swarm-inspired operators. New features are introduced: spatial expansion intended to overcome premature convergence (an algorithm called improved PSO, IPSO) and auto-adaptation (an algorithm called adaptive PSO, APSO).
Mihaela Breaban, Henri Luchian
openaire   +1 more source

A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization

Swarm and Evolutionary Computation, 2019
In the multimodal multi-objective optimization problems (MMOPs), there exists more than one Pareto optimal solutions in the decision space corresponding to the same location on the Pareto front in the objective space.
Weizheng Zhang, Guoqing Li, Weiwei Zhang, Jing J. Liang, G. Yen   +4 more
semanticscholar   +1 more source

Injection molding process optimization of a bi-aspheric lens using hybrid artificial neural networks (ANNs) and particle swarm optimization (PSO)

Measurement, 2019
Injection molding of bi-aspheric lens using polycarbonate material with minimum variation in volumetric shrinkage is crucial for optical quality and is more challenging task among the researchers.
R. J. Bensingh, R. Machavaram, S. Rajendra Boopathy, C. Jebaraj   +3 more
semanticscholar   +1 more source

Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance

Engineering computations, 2021
Jie Zeng, Bishwajit Roy, Deepak Kumar, A. Mohammed, D. J. Armaghani, Jian Zhou, E. T. Mohamad   +6 more
semanticscholar   +1 more source

Damage assessment in composite laminates using ANN-PSO-IGA and Cornwell indicator

, 2019
A simple, yet powerful, new technique based on Artificial Neural Network (ANN) combined with Particle Swarm Optimization (PSO) for damage quantification in laminated composite plates using Cornwell indicator (CI) is proposed. The analysis is performed in
S. Khatir, S. Tiachacht, C. Thanh, T. Bui, M. Wahab   +4 more
semanticscholar   +1 more source