Fast Optimization Procedures (FOPS)

Fast Optimization Procedures (FOPS)

Software

FOPS is a standalone toolbox for optimization in Matlab. It covers local optimization methods (Newton method, Nelder=Mead algorithm) as well as global methods (Genetic Algorithms, Swarm intelligence etc.). It is able to solve both single-objective (SOO) and multi-objective optimization (MOO) tasks. For now, these algorithms are available: for SOO - Genetic Algorithms [1], Particle Swarm Optimization [2], Differential Evolution [3] and Self-Organizing Migrating Algorithm [4]; and for MOO – NSGA-II [5], MOPSO [6], GDE3 [7] and MOSOMA [8].

FOPS is a standalone toolbox for optimization in Matlab. It covers local optimization methods (Newton method, Nelder=Mead algorithm) as well as global methods (Genetic Algorithms, Swarm intelligence etc.). It is able to solve both single-objective (SOO) and multi-objective optimization (MOO) tasks. For now, these algorithms are available: for SOO - Genetic Algorithms [1], Particle Swarm Optimization [2], Differential Evolution [3] and Self-Organizing Migrating Algorithm [4]; and for MOO – NSGA-II [5], MOPSO [6], GDE3 [7] and MOSOMA [8].

FOPS, Optimization, evolutionary algorithms,

FOPS, Optimization, evolutionary algorithms,

Technická 3058/10 Brno 616 00

In order to use the result by another entity, it is always necessary to acquire a license

http://antennatoolbox.eu/fops-about.php , http://www.urel.feec.vutbr.cz/web_documents/produkty/2017/FOPS_software_CZ.pdf