Surendra Chandniha - Academia.edu (original) (raw)

Uploads

Papers by Surendra Chandniha

Journal of Water Resources Planning and …, Jan 1, 1997

Journal of the Institution of Engineers, …, Jan 1, 2004

EPANET, a widely used water distribution network simulation model, is used in this study to deal ... more EPANET, a widely used water distribution network simulation model, is used in this study to deal with both the steady state and extended period simulation and is linked with a powerful optimization algorithm, Shuffled Complex Evolution (SCE). SCE deals with a set of population of points and searches in all direction within the feasible space based on objective function. In this present study, SCE is applied for the design of a cost effective water distribution network. The findings of this study show that SCE is computationally much faster when compared with other also widely used algorithms such as GAs, Simulated Annealing, GLOBE and Shuffled Frog Leaping Algorithms. Hence, SCE is a potential alternative optimization algorithm to solve water distribution network problems.

Water Resources Research, Jan 1, 1977

A method called linear programing gradient (LPG) is presented, by which the optimal design of a w... more A method called linear programing gradient (LPG) is presented, by which the optimal design of a water distribution system can be obtained. The system is a pipeline network, which delivers known demands from sources to consumers and may contain pumps, valves, and reservoirs. Operation of the system under each of a set of demand loadings is considered explicitly in the optimization. The decision variables thus include design parameters, i.e.. pipe diameters, pump capacities and reservoir elevations, and operational parameters, i.e., the pumps to be operated and the valve settings for each of the loading conditions. The objective function, to be minimized, reflects the overall cost capital plus present value of operating costs. The constraints are that demands are to be met and pressures at selected nodes in the network are to be within specilied limits. The solution is obtained via a hierarchial decomposition of the optimization problem. The primary variables are the flows in the network. For each flow distribution the other decision variables arc optimized by linear programing. Postoptimality analysis of the linear program provides the information necessary to compute the gradient of the total cost with respect to changes in the How distribution. The gradient is used to change the flows so that a (local) optimum is approached. The method was implemented in a computer program. Solved examples are presented.

Water resources research, Jan 1, 1994

Engineering Optimization, Jan 1, 2006

This study presents a cost minimization model for the design of water distribution networks. The ... more This study presents a cost minimization model for the design of water distribution networks. The model uses a recently developed harmony search optimization algorithm while satisfying all the design constraints. The harmony search algorithm mimics a jazz improvisation process in order to find better design solutions, in this case pipe diameters in a water distribution network. The model also interfaces with a popular hydraulic simulator, EPANET, to check the hydraulic constraints. If the design solution vector violates the hydraulic constraints, the amount of violation is considered in the cost function as a penalty. The model was applied to five water distribution networks, and obtained designs that were either the same or cost 0.28 -10.26% less than those of competitive meta-heuristic algorithms, such as the genetic algorithm, simulated annealing, and tabu search under the similar or less favorable conditions. The results show that the harmony search-based model is suitable for water network design.

Journal of Water Resources Planning and …, Jan 1, 2004

... pressure, aging of pipe, etc. (). To improve the performance of a water distributionnetwork u... more ... pressure, aging of pipe, etc. (). To improve the performance of a water distributionnetwork under failure conditions, have solved a reliability constrained least cost optimization problem. However, explicit consideration of reliability ...