Intelligent optimization of wastewater collection networks

Abstract

Design of a wastewater collection network is consisting of (1) generating the network’s layout and (2) sizing its hydraulic components. These two sub-problems are nonlinear and discrete in nature and include many complex constraints from hydraulics, technical criteria and regional limitations. This chapter introduces a comprehensive sewer design model possible to be coupled to a variety of intelligent optimization models. For this purpose, two self-adaptive design algorithms are developed for generating the layout and sizing of sewers. Through these algorithms, all constraints of the problem are systematically met and hence, there is no need for any constraint handling strategy into the applied optimization solvers. For optimum design of the network four metaheuristic methods of Genetic Algorithm (GA), Simulate Annealing (SA), Particle Swarm Optimization (PSO) and Tabu Search (TS) are introduced.