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FOPS : A new framework for the optimization with variable number of dimensions
Author(s) -
Marek Martin,
Kadlec Petr,
Čapek Miloslav
Publication year - 2020
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.22335
Subject(s) - computer science , toolbox , feature (linguistics) , set (abstract data type) , variable (mathematics) , software , matlab , extensibility , global optimization , computer engineering , mathematical optimization , distributed computing , algorithm , programming language , mathematics , mathematical analysis , philosophy , linguistics
A single‐ and multi‐objective optimization package is presented and described in detail. It contains an ensemble of local and global optimization routines. Procedures controlling variable number of dimensions are implemented as well, which is a rare feature among optimization oriented packages. The package is provided as a MATLAB toolbox. It excels in versatility and extensibility, which is demonstrated on a series of examples covering classical electromagnetism and antenna design. It is taken for granted that defining parameters of the optimization method can be set prior to the simulation run. However, its effective performance can be changed during the optimization run thanks to the full control feature. Moreover, it opens new possibilities in merging various algorithms into hybrids, performing complex dynamic programming tasks, or exploiting third party software. These advantages render the package as a perfect tool to deal with nowadays challenging engineering tasks.