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Random Flights for Particle Swarm Optimisers
Artificial Intelligence and Applications / 794: Modelling, Identification and Control / 795: Parallel and Distributed Computing and Networks / 796: Software Engineering / 792: Web-based Education, 2013Parametric Optimisation is an important problem that can be tackled with a range of bio-inspired problem space search algorithms. We show how a simplified Particle Swarm Optimiser (PSO) can efficiently exploit advanced space exploration with L´ evy flights, Rayleigh flights and Cauchy flights, and we discuss hybrid variations of these.
Alwyn V. Husselmann, Ken A. Hawick
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Particle swarm optimiser with neighbourhood operator
Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), 2003In recent years population based methods such as genetic algorithms, evolutionary programming, evolution strategies and genetic programming have been increasingly employed to solve a variety of optimisation problems. Recently, another novel population based optimisation algorithm - namely the particle swarm optimisation (PSO) algorithm, was introduced ...
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Multi-region particle swarm optimisation algorithm
International Journal of Computer Applications in Technology, 2012A number of researchers have effectively applied particle swarm optimisation (PSO) to multi-objective optimisation problems. However, it is important to obtain a well-converged and well-distributed set of Pareto-optimal solutions. This paper proposes a multi-region particle swarm optimisation (MRPSO) algorithm for multi-objective optimisation.
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Particle Swarm Optimisation with Spatial Particle Extension
2002In this paper, we introduce spatial extension to particles in the PSO model in order to overcome premature convergence in iterative optimisation. The standard PSO and the new model (SEPSO) are compared w.r.t. performance on well-studied benchmark problems.
Krink, Thiemo +2 more
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Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023Reem E. Mohamed +3 more
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Multi-objective particle swarm optimisation control
2017This chapter provides a brief introduction to the basic particle swarm optimisation (PSO) algorithm and some of its notable variants available in the literature. Then a process of developing multi-objective PSO (MOPSO) algorithms is described, and the approach is utilised to develop two alternative MOPSO algorithms.
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