Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems
J Rada-Vilela, M Johnston, M Zhang - Soft computing, 2015 - Springer
Particle swarm optimization (PSO) is a metaheuristic whose quality of results deteriorates
significantly in optimization problems subject to noise. The underlying reason to such a …
significantly in optimization problems subject to noise. The underlying reason to such a …
Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems
J Rada-Vilela, M Johnston, M Zhang - Swarm and Evolutionary …, 2015 - Elsevier
Particle swarm optimization (PSO) is a metaheuristic designed to find good solutions to
optimization problems. However, when optimization problems are subject to noise, the …
optimization problems. However, when optimization problems are subject to noise, the …
Deception, blindness and disorientation in particle swarm optimization applied to noisy problems
J Rada-Vilela, M Johnston, M Zhang - Swarm Intelligence, 2014 - Springer
Particle swarm optimization (PSO) is a population-based algorithm designed to find good
solutions to optimization problems. However, if the problems are subject to noise, the quality …
solutions to optimization problems. However, if the problems are subject to noise, the quality …
[图书][B] Population Statistics for Particle Swarm Optimisation: Deception, Blindness and Disorientation in Noisy Problems
J Rada-Vilela, MR Johnston, M Zhang - 2014 - ecs.wgtn.ac.nz
Abstract Particle Swarm Optimization (PSO) is a population-based algorithm designed to
find good solutions to optimization problems. However, if the problems are subject to noise …
find good solutions to optimization problems. However, if the problems are subject to noise …
[PDF][PDF] Book Chapters
A Books - Journal Articles - sbm.nmims.edu
Recent Publications Page 1 Recent Publications Books Shrivastava, M. Retail Marketing
Strategy. Sage Publications. Book Chapters Shrivastava, M. Thakur, R. (2011). Effect of …
Strategy. Sage Publications. Book Chapters Shrivastava, M. Thakur, R. (2011). Effect of …
[PDF][PDF] Juan Rada-Vilela, Mark Johnston &
M Zhang - researchgate.net
Particle swarm optimization (PSO) is a population-based algorithm designed to find good
solutions to optimization problems. However, if the problems are subject to noise, the quality …
solutions to optimization problems. However, if the problems are subject to noise, the quality …
[PDF][PDF] Swarm and Evolutionary Computation
J Rada-Vilela, M Johnston, M Zhang - 2014 - researchgate.net
abstract Particle swarm optimization (PSO) is a metaheuristic designed to find good
solutions to optimization problems. However, when optimization problems are subject to …
solutions to optimization problems. However, when optimization problems are subject to …
Population Statistics for Particle Swarm Optimization on Problems Subject to Noise
J Rada-Vilela - 2014 - openaccess.wgtn.ac.nz
Particle Swarm Optimization (PSO) is a metaheuristic where a swarm of particles explores
the search space of an optimization problem to find good solutions. However, if the problem …
the search space of an optimization problem to find good solutions. However, if the problem …
[PDF][PDF] and the Challenges Ahead, Autonomous sensor networks–collective sensing strategies for analytical purposes, edited by Filippini, Daniel, Springer Series on …
H Liu, X Chu, YW Leung - Science, 2006 - scholar.archive.org
and the Challenges Ahead, Autonomous sensor networks – collective sensing strategies for
analytical Encyclopedia of for Wirele Page 1 Updated on: 2/7/2013 SEAH Khoon Guan Winston …
analytical Encyclopedia of for Wirele Page 1 Updated on: 2/7/2013 SEAH Khoon Guan Winston …