Synthesis of Distributed Wastewater Treatment Networks Based on Particle Swarm Optimization
Xigang Yuan · Journal of Tianjin University Science and Technology · 2006
Based on a superstructure representation, a nonlinear programming (NLP) model as well as a mixed-integer nonlinear programming (MINLP) model was proposed in this paper for the optimal design of distributed wastewater treatment network system. Non-convexity is in general the main feature of the difficulties for solving these models for wastewater treatment network optimization. To overcome this difficulty, a newly proposed random search algorithm--particle swarm optimization was applied to a global optimization method for the wastewater treatment network design. Two examples were illustrated and the results demonstrate that the proposed method can effectively solve the NLP and MINLP models for wastewater treatment network optimization with strong ability for global optimization without relying on an initial point.