Optimization of water distribution systems by Linear programming technique

Işık, Recep


Optimization of single-pass milling operations by geometric programming method.
Aydemir, M. Celalettin; Department of Mechanical Engineering (1985)
Optimization of wastewater collection systems by dynamic programming technique.
Öztürk, Nerime; Department of Environmental Engineering (1989)
Optimization of water distribution networks using mixed-integer linear programming
Uzun, Eren; Altan Sakarya, Ayşe Burcu; Department of Civil Engineering (2016)
The present study aims to discuss the advantages and disadvantages of the design of water distribution networks by making use of mixed integer linear programming. The developed optimization algorithm considers the minimization of the total cost as the objective function. The total cost of water distribution network is defined as cost of pipes, reservoirs and pumps. Nodal demands, nodal pressure limits and pipe velocity limits are satisfied while optimizing the network. Energy equation is the equality constr...
Optimization of Multireservoir Systems by Genetic Algorithm
Hinçal, Onur; Altan Sakarya, Ayşe Burcu; Ger, A. Metin (2011-03-01)
Application of optimization techniques for determining the optimal operating policy of reservoirs is a major issue in water resources planning and management. As an optimization Genetic Algorithm, ruled by evolution techniques, have become popular in diversified fields of science. The main aim of this study is to explore the efficiency and effectiveness of genetic algorithm in optimization of multi-reservoirs. A computer code has been constructed for this purpose and verified by means of a reference problem...
Optimization of water distribution networks using genetic algorithm
Güç, Gerçek; Merzi, Nuri; Department of Civil Engineering (2006)
This study gives a description about the development of a computer model, RealPipe, which relates genetic algorithm (GA) to the well known problem of least-cost design of water distribution network. GA methodology is an evolutionary process, basically imitating evolution process of nature. GA is essentially an efficient search method basically for nonlinear optimization cases. The genetic operations take place within the population of chromosomes. By means of various operators, the genetic knowledge in chro...
Citation Formats
R. Işık, “Optimization of water distribution systems by Linear programming technique,” Middle East Technical University, 1987.