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ISICA
2007
Springer
14 years 3 months ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
CEC
2008
IEEE
14 years 3 months ago
Improved Particle Swarm Optimization with low-discrepancy sequences
— Quasirandom or low discrepancy sequences, such as the Van der Corput, Sobol, Faure, Halton (named after their inventors) etc. are less random than a pseudorandom number sequenc...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...
CEC
2010
IEEE
13 years 10 months ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...
SYNASC
2008
IEEE
277views Algorithms» more  SYNASC 2008»
14 years 3 months ago
An Adaptive Particle Swarm Optimizer Using Balanced Explorative and Exploitative Behaviors
Particle Swarm Optimization (PSO) has recently emerged as a nature inspired algorithm for real parameter optimization. This article describes a method for improving the final accur...
Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swaga...
SASO
2008
IEEE
14 years 3 months ago
Evaporation as a Self-Adaptation Mechanism for PSO
This work extends the Particle Swarm Optimization (PSO) algorithm for working on dynamic environments. We propose an evaporation mechanism to solve the outdated memory problem. We...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...