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» Applying particle swarm optimization to software testing
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CEC
2007
IEEE
15 years 3 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
78
Voted
ANTSW
2008
Springer
14 years 11 months ago
A Dynamic Swarm for Visual Location Tracking
Abstract. The visual localization problem in robotics poses a dynamically changing environment due to the movement of the robot compared to a static image set serving as environmen...
Marcel Kronfeld, Christian Weiss, Andreas Zell
CEC
2007
IEEE
15 years 1 months ago
A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence
This paper presents an alternative formulation of the PSO dynamics by a closed loop control system, and analyzes the stability behavior of the system by using Jury's test and ...
Nayan R. Samal, Amit Konar, Swagatam Das, Ajith Ab...
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
15 years 2 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
145
Voted
ICICIC
2006
IEEE
15 years 3 months ago
Timetable Scheduling Using Particle Swarm Optimization
In timetable scheduling problems, examination subjects must be slotted to certain times that satisfy several of constraints. They are NP-completeness problems, which usually lead ...
Shu-Chuan Chu, Yi-Tin Chen, Jiun-Huei Ho