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» Nonlinear mapping using particle swarm optimisation
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IROS
2009
IEEE
199views Robotics» more  IROS 2009»
14 years 2 days ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
SEMWEB
2009
Springer
13 years 12 months ago
MapPSO Results for OAEI 2009
Abstract. This paper presents and discusses the results of the latest developments of the MapPSO system, which is an ontology alignment approach that is based on discrete particle ...
Jürgen Bock, Peng Liu 0002, Jan Hettenhausen
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 9 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
CEC
2009
IEEE
13 years 10 months ago
LoCost: A spatial social network algorithm for multi-objective optimisation
—Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of problems in engineering design and scientific investigation. While readily adapted to singleo...
Andrew Lewis
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 11 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon