A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Fuzzy Multiobjective Irrigation Planning Using Particle Swarm Optimization
AbstractParticle swarm optimization (PSO) technique is applied in multiobjective irrigation planning environment, to the case study of Khadakwasla complex, India. The project consists of Khadakwasla irrigation project, Janai Sirsai lift irrigation scheme, and Purandar lift irrigation scheme. Objectives considered are net benefits, crop production, and labor employment on an annual basis. Uncertainty in the three objectives is tackled by a fuzzy approach and through hyperbolic and exponential membership functions. An irrigation planning scenario of 75% dependable inflow with groundwater and treated wastewater is analyzed (termed as 75WGWHM) and is the basis for formulating the multiobjective problem. Two additional scenarios, S1 with 75% dependable inflow without groundwater using a hyperbolic membership function and S2 with 75% dependable inflow with groundwater using an exponential membership function, are also explored and compared with 75WGWHM. It is observed from the results that hyperbolic membership function is superior to the exponential membership function for the present planning problem. In addition, sensitivity analysis on PSO parameters suggests that parameters are to be chosen with due care in order to achieve meaningful inferences that can be implemented practically.
Fuzzy Multiobjective Irrigation Planning Using Particle Swarm Optimization
AbstractParticle swarm optimization (PSO) technique is applied in multiobjective irrigation planning environment, to the case study of Khadakwasla complex, India. The project consists of Khadakwasla irrigation project, Janai Sirsai lift irrigation scheme, and Purandar lift irrigation scheme. Objectives considered are net benefits, crop production, and labor employment on an annual basis. Uncertainty in the three objectives is tackled by a fuzzy approach and through hyperbolic and exponential membership functions. An irrigation planning scenario of 75% dependable inflow with groundwater and treated wastewater is analyzed (termed as 75WGWHM) and is the basis for formulating the multiobjective problem. Two additional scenarios, S1 with 75% dependable inflow without groundwater using a hyperbolic membership function and S2 with 75% dependable inflow with groundwater using an exponential membership function, are also explored and compared with 75WGWHM. It is observed from the results that hyperbolic membership function is superior to the exponential membership function for the present planning problem. In addition, sensitivity analysis on PSO parameters suggests that parameters are to be chosen with due care in order to achieve meaningful inferences that can be implemented practically.
Fuzzy Multiobjective Irrigation Planning Using Particle Swarm Optimization
Vasan, A (author) / AshokaVardhan, L / Morankar, D. V / Srinivasa Raju, K
2016
Article (Journal)
English
Fuzzy Multiobjective Irrigation Planning Using Particle Swarm Optimization
| Online Contents | 2016
Fuzzy Multiobjective Irrigation Planning Using Particle Swarm Optimization
| British Library Online Contents | 2016
Overall multiobjective optimization of construction projects scheduling using particle swarm
| Emerald Group Publishing | 2016
Overall multiobjective optimization of construction projects scheduling using particle swarm
| Online Contents | 2016