Computers and Operations Research
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
A discrete version of particle swarm optimization for flowshop scheduling problems
Computers and Operations Research
Particle swarm optimization-based algorithms for TSP and generalized TSP
Information Processing Letters
Particle Swarm Optimization applied to the design of water supply systems
Computers & Mathematics with Applications
Particle Swarm Optimization applied to the design of water supply systems
Computers & Mathematics with Applications
Optimization in water systems: a PSO approach
Proceedings of the 2008 Spring simulation multiconference
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Identification of surgical practice patterns using evolutionary cluster analysis
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Layout and size optimization of sanitary sewer network using intelligent ants
Advances in Engineering Software
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Optimal design of wastewater collection networks is addressed in this paper by making use of the so-called PSO (Particle Swarm Optimization) technique. This already popular evolutionary technique is adapted for dealing both with continuous and discrete variables as required by this problem. An example of a wastewater collection network is used to show the algorithm performance and the obtained results are compared with those given by using dynamic programming to solve the same problem under the same conditions. PSO is shown to be a promising method to solve optimal design problems regarding, in particular, wastewater collection networks, according to the results herein obtained.