Particle Swarm
Particle swarm solver for derivative-free unconstrained
optimization or optimization with bounds
Particle swarm solves bound-constrained problems with an objective
function that can be nonsmooth. Try this if patternsearch
does not work satisfactorily.
Functions
Live Editor Tasks
Optimize | Optimize or solve equations in the Live Editor (Since R2020b) |
Topics
Problem-Based Particle Swarm
- Optimize Function Using particleswarm, Problem-Based
Basic example minimizing a function in the problem-based approach.
Optimize Using Particle Swarm
- Optimize Using Particle Swarm
Basic example showing how to use the particleswarm solver. - Tune Particle Swarm Optimization Process
Shows the effects of some options on theparticleswarm
solution process. - Particle Swarm Output Function
This example shows how to use an output function forparticleswarm
. - When to Use a Hybrid Function
Describes cases where hybrid functions are likely to provide greater accuracy or speed. - Optimize Simulink Model in Parallel
This example shows how to optimize a Simulink® model in parallel using several Global Optimization Toolbox solvers.
Particle Swarm Background
- What Is Particle Swarm Optimization?
High-level introduction to the particle swarm algorithm. - Particle Swarm Optimization Algorithm
Details of the particle swarm algorithm. - Particle Swarm Options
Explore the options for particle swarm.