PSOt - a particle swarm optimization toolbox for use with Matlab

By B. Birge. Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), 2003

568 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/0de2679abadd2f7ba57bc9ea2ff0d3d96d55357b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computational Theory and Mathematics

Citations in the corpus

Co‐ordination and control of distributed spacecraft systems using convex optimization techniques (2002, unknown): “The LP in Equations (40) and (41) can be solved very efficiently using many free and commercially available optimization programs [23–25].”
Mixed Static and Dynamic Optimization of Four-Parameter Functionally Graded Completely Doubly Curved and Degenerate Shells and Panels Using GDQ Method (2013, methodology): “The PSO algorithm used in this paper is similar to the one proposed by Birge [115], with some variations due to the particular application to the FGM optimization problem.”
Simultaneous coordinated tuning of PSS and FACTS damping controllers in large power systems (2005, methodology): “is carried out using a nonlinear programming technique [11].”
Multiobjective optimization techniques applied to engineering problems (2010, methodology): “In this example, the optimization problem was investigated using a sequential quadratic programming technique (Grace, 1992) of the Matlab Toolbox.”
Oblique Multicategory Decision Trees Using Nonlinear Programming (2005, methodology): “• Two-category vs. multicategory classification: A technique designed specifically for binary classification requires some form of ad-hoc extension for a problem with k classes, such as a collection of k two-class trees, each of which separates one class from all the others.”
Design and Analysis of a Totally Decoupled Flexure-Based XY Parallel Micromanipulator (2009, methodology): “The optimization is implemented with MATLAB via a PSO toolbox [43], and the optimized dimensions are: r = 2.”
Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior (2009, methodology): “We also employed PSOt—a particle swarm optimization toolbox for MATLAB [41], which includes a standard PSO algorithm and several variants.”