Demand Estimation In Water Distribution Systems: Solving Underdetermined Problems Using Genetic Algorithms

Estimation of Water Demand in Water Distribution Systems Using Particle Swarm Optimization

Abstract: Demand estimation in a water distribution network provides crucial data for monitoring and controlling systems. Because of budgetary and physical constraints, there is a need to estimate water demand from a limited number of sensor measurements. The demand estimation problem is underdetermined because of the limited sensor data and the implicit relationships between nodal demands and ...

Solving random inverse heat conduction problems using PSO and genetic algorithms

The main purpose of this paper is to solve an inverse random differential equation problem using evolutionary algorithms. Particle Swarm Algorithm and Genetic Algorithm are two algorithms that are used in this paper. In this paper, we solve the inverse problem by solving the inverse random differential equation using Crank-Nicholson's method. Then, using the particle swarm optimization algorith...

Solving Optimization Problems in Wireless Networks Using Genetic Algorithms

Sajal K. Das Nilanjan Banerjee Abhishek Roy 15.

Using Genetic Algorithms for Solving Hard Problems in GIS

Solving Combinatorial Problems with Time Constrains using Estimation of Distribution Algorithms and Their Application in Video-Tracking Systems