Search Results - subject:"particle Swarm optimization"

Solving fractional programming problems based on swarm intelligence

Raouf, Osama Abdel; Hezam, Ibrahim M. - In: Journal of Industrial Engineering International 10 (2014), pp. 1-10

Intelligence (SI) algorithms. The two algorithms are: Particle Swarm Optimization, and Firefly Algorithm. The two algorithms are …

Persistent link: https://www.econbiz.de/10011640805

Design and Study on Sliding Mode Extremum Seeking Control of the Chaos Embedded Particle Swarm Optimization for Maximum Power Point Tracking in Wind Power Systems

Chen, Jui-Ho; Yau, Her-Terng; Hung, Weir - In: Energies 7 (2014) 3, pp. 1706-1720

This paper proposes a sliding mode extremum seeking control (SMESC) of chaos embedded particle swarm optimization …

Persistent link: https://www.econbiz.de/10010753963

Applying nonlinear MODM model to supply chain management with quantity discount policy under complex fuzzy environment

Zhang, Zhe; Xu, Jiuping - In: Journal of industrial engineering and management : JIEM 7 (2014) 3, pp. 660-680

subsequently. For solving the complex nonlinear model, a multi-objective adaptive particle swarm optimization algorithm (MO …

Persistent link: https://www.econbiz.de/10011912450

Clustering stock exchange data by using evolutionary algorithms for portfolio management

Nejad, Malek Khojasteh - In: European research studies 17 (2014) 4, pp. 55-66

Persistent link: https://www.econbiz.de/10012003678

Solving fractional programming problems based on swarm intelligence

Raouf, Osama Abdel; Hezam, Ibrahim M. - In: Journal of industrial engineering international 10 (2014), pp. 1-10

Intelligence (SI) algorithms. The two algorithms are: Particle Swarm Optimization, and Firefly Algorithm. The two algorithms are …

Persistent link: https://www.econbiz.de/10011556482

A new hybrid GA-PSO method for solving multi-period inventory routing problem with considering financial decisions

Rabbani, Masoud; Baghersad, Milad; Jafari, Ruholla - In: Journal of Industrial Engineering and Management (JIEM) 6 (2013) 4, pp. 909-929

swarm optimization (PSO) metaheuristic algorithm is proposed which showed to be applicable and reliable comparing its …/methodology/approach: The problem is formulated as a Mixed Integer Linear Programming (MILP) model. A new hybrid genetic algorithm (GA)-particle …

Persistent link: https://www.econbiz.de/10011939086

Bi-product inventory planning in a three-echelon supply chain with backordering, poisson demand, and limited warehouse space

Alimardani, Maryam; Jolai, Fariborz; Rafiei, Hamed - In: Journal of Industrial Engineering International 9 (2013), pp. 1-13

complexity of the developed model, a particle swarm optimization algorithm is adopted. Through the conducted numerical …

Persistent link: https://www.econbiz.de/10011551806

Multiobjective optimization for the asset allocation of European nonlife insurance companies

Jarraya, Bilel; Bouri, Abdelfettah - Volkswirtschaftliche Fakultät, … - 2013

, competitiveness and solvency. Our developed model integrates simulation approach with a Multi-Objective Particle Swarm Optimization …

Persistent link: https://www.econbiz.de/10011258040

Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method

Chang, Wen-Yeau - In: Energies 6 (2013) 9, pp. 4879-4896

supply. This paper proposes an enhanced particle swarm optimization (EPSO) based hybrid forecasting method for short …

Persistent link: https://www.econbiz.de/10010692413

Bi-product inventory planning in a three-echelon supply chain with backordering, poisson demand, and limited warehouse space

Alimardani, Maryam; Jolai, Fariborz; Rafiei, Hamed - In: Journal of industrial engineering international 9 (2013), pp. 1-13

complexity of the developed model, a particle swarm optimization algorithm is adopted. Through the conducted numerical …

Persistent link: https://www.econbiz.de/10009783231