Swarm intelligence
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
Earthquake classifying neural networks trained with random dynamic neighborhood PSOs
Proceedings of the 9th annual conference on Genetic and evolutionary computation
The singly-linked ring topology for the particle swarm optimization algorithm
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Heterogeneous particle swarm optimizers
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Circular Representations of a Valued Preference Matrix
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Adaptive clubs-based particle swarm optimization
ACC'09 Proceedings of the 2009 conference on American Control Conference
Frankenstein's PSO: a composite particle swarm optimization algorithm
IEEE Transactions on Evolutionary Computation
Particle swarm optimizer based on small-world topology and comprehensive learning
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
A tunable swarm-optimization-based approach for affective product design
MACMESE'07 Proceedings of the 9th WSEAS international conference on Mathematical and computational methods in science and engineering
Particle swarm optimisation with gradually increasing directed neighbourhoods
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Empirical computation of the quasi-optimal number of informants in particle swarm optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Swarm algorithms with chaotic jumps applied to noisy optimization problems
Information Sciences: an International Journal
A new binary PSO with velocity control
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Convergence analysis and improvements of quantum-behaved particle swarm optimization
Information Sciences: an International Journal
Diversity enhanced particle swarm optimization with neighborhood search
Information Sciences: an International Journal
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This paper considers the use of randomly generated directed graphs as neighborhoods for particle swarm optimizers (PSO) using fully informed particles (FIPS), together with dynamic changes to the graph during an algorithm run as a diversity-preserving measure. Different graph sizes, constructed with a uniform out-degree were studied with regard to their effect on the performance of the PSO on optimization problems. Comparisons were made with a static random method, as well as with several canonical PSO and FIPS methods. The results indicate that under appropriate parameter settings, the use of random directed graphs with a probabilistic disruptive re-structuring of the graph produces the best results on the test functions considered.