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» Timetable Scheduling Using Particle Swarm Optimization
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CEC
2007
IEEE
13 years 11 months ago
A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence
This paper presents an alternative formulation of the PSO dynamics by a closed loop control system, and analyzes the stability behavior of the system by using Jury's test and ...
Nayan R. Samal, Amit Konar, Swagatam Das, Ajith Ab...
SYNASC
2005
IEEE
110views Algorithms» more  SYNASC 2005»
14 years 1 months ago
Performance Tuning of Evolutionary Algorithms Using Particle Sub Swarms
Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...
Crina Grosan, Ajith Abraham, Monica Nicoara
ATMOS
2007
161views Optimization» more  ATMOS 2007»
13 years 9 months ago
Periodic Railway Timetabling with Event Flexibility
This paper addresses the problem of generating conflict-free periodic train timetables for large railway networks. We follow a two level approach, where a simplified track topolo...
Gabrio Curzio Caimi, Martin Fuchsberger, Marco Lau...
AMC
2007
154views more  AMC 2007»
13 years 7 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
ISDA
2008
IEEE
14 years 2 months ago
Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering
This study is concerned with the application of multi-objective particle swarm optimization (MOPSO) approaches to the framework of collaborative fuzzy clustering. In particular, t...
Rafael Falc, Benoît Depaire, Koen Vanhoof, A...