Optimizing Reservoir Capacity, Water Allocation and Crop Yield using Teaching Learning Based Optimization (TLBO) Technique
Vijendra Kumar, Sardar Vallabhbhai National Institute and Technology; S. M. Yadav ,Sardar Vallabhbhai National Institute and Technology
TLBO, LINGO Software, Soft Computing, Linear Programming, Dynamic Programming
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.
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Paper ID: GRDCF012070
Published in: Conference : Emerging Research and Innovations in Civil Engineering
Page(s): 354 - 360
Published in: Conference : Emerging Research and Innovations in Civil Engineering
Page(s): 354 - 360