Self-Adaptive Genetic Algorithm for Numeric Functions
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
A Study on the use of "self-generation'' in memetic algorithms
Natural Computing: an international journal
Information Processing Letters
A discrete version of particle swarm optimization for flowshop scheduling problems
Computers and Operations Research
Dissipative particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Particle swarm optimization-based algorithms for TSP and generalized TSP
Information Processing Letters
Molecular docking with multi-objective Particle Swarm Optimization
Applied Soft Computing
Particle Swarm Optimization applied to the design of water supply systems
Computers & Mathematics with Applications
Design optimization of wastewater collection networks by PSO
Computers & Mathematics with Applications
An application of swarm optimization to nonlinear programming
Computers & Mathematics with Applications
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
The fully informed particle swarm: simpler, maybe better
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Parametric study for an ant algorithm applied to water distribution system optimization
IEEE Transactions on Evolutionary Computation
Stability analysis of the particle dynamics in particle swarm optimizer
IEEE Transactions on Evolutionary Computation
Application of two ant colony optimisation algorithms to water distribution system optimisation
Mathematical and Computer Modelling: An International Journal
Mathematical models and methods in the water industry
Mathematical and Computer Modelling: An International Journal
An improved adaptive binary Harmony Search algorithm
Information Sciences: an International Journal
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This paper deals with a new variant of Particle Swarm Optimization (PSO) in which no a priori parameter tuning is necessary. PSO, as an efficient and powerful problem-solving technique, has been widely used, but, as in other Evolutionary Algorithms (EA), appropriate adjustment of its parameters is cumbersome and usually requires a lot of time, effort and luck. Thus, a self-adaptive framework is proposed to improve the robustness of the PSO. In this paper, within a framework that also includes other variants previously introduced by the authors, the algorithm's parameters are co-evolved with the particles. Its performance results show that the use of this self-adaptive feature averages out the performance of standard PSO and other EA applied to the same problems, namely the design of Water Supply Systems (WSS), while avoiding the process of localizing and fine-tuning suitable parameters values, when using two benchmarking problems presented in the literature, namely the Hanoi Water Supply System and the New York Tunnel Water Supply System. The results provided in the case of a real-world problem demonstrate the scalability of the proposed variant to the realistic water distribution design problems, which are much larger.