Sciweavers

433 search results - page 22 / 87
» Dynamic-probabilistic particle swarms
Sort
View
CEC
2008
IEEE
14 years 2 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
2008
IEEE
14 years 2 months ago
Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation
— Many optimisation problems are multi-objective and change dynamically. Many methods use a weighted average approach to the multiple objectives. This paper introduces the usage ...
Mardé Greeff, Andries Petrus Engelbrecht
IROS
2009
IEEE
132views Robotics» more  IROS 2009»
14 years 2 months ago
Segregation in swarms of mobile robots based on the Brazil nut effect
— We study a simple algorithm inspired by the Brazil nut effect for achieving segregation in a swarm of mobile robots. The algorithm lets each robot mimic a particle of a certain...
Roderich Groß, Stéphane Magnenat, Fra...
CEC
2007
IEEE
13 years 11 months ago
Development and validation of different hybridization strategies between GA and PSO
In this paper a new class of hybridization strategies between GA and PSO is presented and validated. The Genetical Swarm Optimization (GSO) approach is presented here with respect ...
A. Gandelli, F. Grimaccia, Marco Mussetta, Paola P...
ISICA
2007
Springer
14 years 1 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