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

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Problem-Based Solution

`optimvalues`	Create values for optimization problem (Since R2022a)
`solve`	Solve optimization problem or equation problem

Solver

particleswarm Particle swarm optimization

Options

`optimoptions`	Create optimization options
`resetoptions`	Reset options

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 the particleswarm solution process.
Particle Swarm Output Function
This example shows how to use an output function for particleswarm.
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.