Optimizing Reservoir Capacity, Water Allocation and Crop Yield using Teaching Learning Based Optimization (TLBO) Technique
Journal Title: GRD Journal for Engineering - Year 2019, Vol 4, Issue 0
Abstract
In the present study ‘Teaching Learning Based Optimization’ (TLBO) optimization method has been applied to the water resources engineering problem. TLBO is a population-based natural-inspired evolutionary algorithm comparatively simple, easy and robust. TLBO algorithm is capable of providing a global solution. Four water resources problem such as optimizing crop water demand, maximization of benefits, minimization of reservoir capacity and minimization of reservoir capacity with evaporation losses solved using TLBO technique. The results were compared with linear programming & dynamic programming solutions. TLBO algorithm has proven to be providing the global and better results. The results obtained from TLBO were better in reservoir capacity problem with evaporation losses. The results were satisfactory for optimizing crop water demand, maximization of benefits and minimization of reservoir capacity. The TLBO technique provides a satisfactory solution as other popular optimization techniques.
Authors and Affiliations
Vijendra Kumar, S. M. Yadav
Keywords
Related Articles
- EP ID EP552540
- DOI -
- Views 103
- Downloads 0
Unmanned Ground Vehicle with NI LabVIEW using myRIO
This project is based on LabVIEW software using NI-myRIO and it is meant for low cost, small size and light weight unmanned ground vehicle .It is specialized in wheel structure and camera courage .the typical wheel desig...
Effect on Strength Properties of Concrete by using Prosopis Juliflora Wood Powder as Partial Replacemet of Sand
In today’s world the main emphasis is on green and sustainable development. River sand is one of the vital ingredient in the construction. Environmental concerns are being raised against uncontrolled extraction of river...
Salient Region Detection in Natural Images Using EM-Based Structure-Guided Statistical Textural Distinctiveness
The objective of salient region detection is to separate salient region from entire image. This salient region detection framework consists of a structure-guided statistical textural distinctiveness approach. This approa...
Design of MPPT for Wind Power System
Wind energy, even though abundant, varies continually as wind velocity varies in magnitude and direction over a time period. As the wind turbine’s rotation depends upon the availability of wind force and if the wind turb...
Lossless Representation of High Utility Itemset Using APRIORI Algorithm
Mining High Utility Item set (HUIs) becomes an important data mining task. Too many HUIs may degrade the level of performance. To achieve high efficiency of mining task apriori algorithm is used. In this method a refined...