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159
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IPPS
2007
IEEE
15 years 10 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
131
Voted
ESWA
2011
230views Database» more  ESWA 2011»
14 years 10 months ago
Multi-dimensional particle swarm optimization in dynamic environments
Serkan Kiranyaz, Jenni Pulkkinen, Moncef Gabbouj
136
Voted
SASO
2008
IEEE
15 years 10 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 We propose an evaporation mechanism to solve the outdated memory problem.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...
120
Voted
CEC
2008
IEEE
15 years 10 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
143
Voted
ATAL
2008
Springer
15 years 5 months ago
Coalition game-based distributed coverage of unknown environments by robot swarms
We consider the problem of distributed exploration or coverage of an unknown environment by a swarm of mobile minirobots that have limited memory, computation and communication ca...
Ke Cheng, Prithviraj Dasgupta