Double-Stranded Differential Evolution and Particle Swarm Optimization with LibreOffice Nonlinear Programming Solver

Gergana Mateeva; Delyan Keremedchiev; Kalin Kopanov; Velizar Varbanov; Todor Balabanov

Computer Science and Education in Computer Science. 20th EAI International Conference, CSECS 2024, Sofia, Bulgaria, June 28–30, 2024, Proceedings

Research Article

Double-Stranded Differential Evolution and Particle Swarm Optimization with LibreOffice Nonlinear Programming Solver

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-031-84312-9_10,
    author={Gergana Mateeva and Delyan Keremedchiev and Kalin Kopanov and Velizar Varbanov and Todor Balabanov},
    title={Double-Stranded Differential Evolution and Particle Swarm Optimization with LibreOffice Nonlinear Programming Solver},
    proceedings={Computer Science and Education in Computer Science. 20th EAI International Conference, CSECS 2024, Sofia, Bulgaria, June 28--30, 2024, Proceedings},
    proceedings_a={CSECS},
    year={2025},
    month={3},
    keywords={Double-stranded genetic algorithms Nonlinear optimization LibreOffice},
    doi={10.1007/978-3-031-84312-9_10}
}

Gergana Mateeva
Delyan Keremedchiev
Kalin Kopanov
Velizar Varbanov
Todor Balabanov
Year: 2025
Double-Stranded Differential Evolution and Particle Swarm Optimization with LibreOffice Nonlinear Programming Solver
CSECS
Springer
DOI: 10.1007/978-3-031-84312-9_10

Gergana Mateeva¹, Delyan Keremedchiev², Kalin Kopanov¹, Velizar Varbanov¹, Todor Balabanov¹^,*

1: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, acad. Georgi Bonchev Street, block 2
2: Department of Informatics, New Bulgarian University, 21 Montevideo Street, block 2

*Contact email: todor.balabanov@iict.bas.bg

Abstract

Differential Evolution and Particle Swarm Optimization are heuristic global optimization methods inspired by natural evolution and swarm behavior. They are often used to solve complex optimization and simulation problems that are time-consuming or impossible to solve using exact numerical methods. Traditionally, RNA ideas are closer to Differential Evolution population formation. This paper proposes a double-stranded (more DNA-like) implementation of population in LibreOffice Calc NLP Solver. The proposed implementation is validated with well-known optimization benchmark functions.

Keywords: Double-stranded genetic algorithms, Nonlinear optimization, LibreOffice

Published: 2025-03-14
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-031-84312-9_10

Double-Stranded Differential Evolution and Particle Swarm Optimization with LibreOffice Nonlinear Programming Solver

Abstract

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