Search Results - subject:"Particle Swarm Optimization"

A novel method for computing single output for DEA with application in hospital efficiency

Yeşilyurt, M. Ensar; Şahin, Emre; Elbi, M. Doğan; … - In: Socio-economic planning sciences : the international … 76 (2021), pp. 1-19

Persistent link: https://www.econbiz.de/10013339031

A discrete particle swarm optimization algorithm with local search for a production-based two-echelon single-vendor multiple-buyer supply chain

Seifbarghy, Mehdi; Kalani, Masoud Mirzaei; Hemmati, Mojtaba - In: Journal of Industrial Engineering International 12 (2016), pp. 29-43

operational parameters. Since the model belongs to nonlinear integer programs, we use a discrete particle swarm optimization …

Persistent link: https://www.econbiz.de/10011640878

Application of orthogonal array technique and particle swarm optimization approach in surface roughness modification when face milling AISI1045 steel parts

Moghaddam, Masoud Azadi; Kolahan, Farhad - In: Journal of Industrial Engineering International 12 (2016), pp. 99-209

particle swarm optimization (PSO) on the basis of experimental results. The model developed for optimization has been validated …

Persistent link: https://www.econbiz.de/10011640884

Modelling and trading the English stock market with new forecasting techniques

Karathanasopoulos, Andreas - In: Economics and Business Letters : EBL 5 (2016) 2, pp. 50-57

The motivation of this paper is to introduce a short term adaptive model (Partial Swarm Optimizer combined with linear and nonlinear models when applied to the task of forecasting and trading the daily closing returns of the FTSE100 exchange traded funds (ETFs). This is done by benchmarking its...

Persistent link: https://www.econbiz.de/10011573208

Systemically important banks : a permutation test approach

Frattarolo, Lorenzo; Parpinel, Francesca; Pizzi, Claudio - 2016

Persistent link: https://www.econbiz.de/10011636612

A discrete particle swarm optimization algorithm with local search for a production-based two-echelon single-vendor multiple-buyer supply chain

Seifbarghy, Mehdi; Kalani, Masoud Mirzaei; Hemmati, Mojtaba - In: Journal of industrial engineering international 12 (2016), pp. 29-43

operational parameters. Since the model belongs to nonlinear integer programs, we use a discrete particle swarm optimization …

Persistent link: https://www.econbiz.de/10011562784

Application of orthogonal array technique and particle swarm optimization approach in surface roughness modification when face milling AISI1045 steel parts

Moghaddam, Masoud, Azadi; Kolahan, Farhad - In: Journal of industrial engineering international 12 (2016), pp. 99-209

particle swarm optimization (PSO) on the basis of experimental results. The model developed for optimization has been validated …

Persistent link: https://www.econbiz.de/10011562792

Computing of the Ground State Energy of a Hydrogen Like Impurity in a Spherical Quantum Dot using QPSO Algorithm

Omran, Mohsen Samet - In: International Journal of Energy Optimization and … 5 (2016) 4, pp. 48-61

In this work, quantum particle swarm optimization (QPSO1) algorithm method is applied to the problem of impurity at the …

Persistent link: https://www.econbiz.de/10012044552

Multi-Objective Optimization of Squeeze Casting Process using Evolutionary Algorithms

Patel G C, Manjunath; Krishna, Prasad; Parappagoudar, … - In: International Journal of Swarm Intelligence Research (IJSIR) 7 (2016) 1, pp. 55-74

. Evolutionary algorithms, such as genetic algorithm, particle swarm optimization, and multi objective particle swarm optimization … variable combinations obtained by genetic algorithm (GA), particle swarm optimization (PSO), and multiple objective particle … swarm optimization based on crowing distance (MOPSO-CD). The performance of PSO is found to be comparable with that of GA …

Persistent link: https://www.econbiz.de/10012047832

On convergence analysis of multi-objective particle swarm optimization algorithm

Xu, Gang; Luo, Kun; Jing, Guoxiu; Yu, Xiang; Ruan, Xiaojun - In: European journal of operational research : EJOR 286 (2020) 1, pp. 32-38

Persistent link: https://www.econbiz.de/10012239885