Equilibrium Optimizer
What is this algorithm?
Single-objective optimization
Single-objective optimization
The Equilibrium Optimizer (EO) is inspired by control volume mass balance models used to estimate both dynamic and equilibrium states. In EO, each particle (solution) with its concentration (position) acts as a search agent. The search agents randomly update their concentration with respect to best-so-far solutions, namely equilibrium candidates, to finally reach the equilibrium state (optimal result). A well-defined “generation rate” term is proved to invigorate EO’s ability in exploration,
Single-objective optimization
Single-objective optimization
Single-objective optimization
EO has been designed to solve single-objective optimization problems. This algorithm has been implemented in a wide range of programming languages. You can download the source code at the bottom of this page.
Binary optimization
Single-objective optimization
Binary optimization
Binary Equilibrium Optimizer (BiEO) allows you to solve binary and discrete optimization problems.
EO in other programming languages
