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Preface to the Special Issue on “Optimization Theory and Applications”

Author

Listed:
  • Árpád Bűrmen

    (Department of Electronics, Faculty of Electrical Engineering, University of Ljubljana, SI-1000 Ljubljana, Slovenia)

  • Tadej Tuma

    (Department of Electronics, Faculty of Electrical Engineering, University of Ljubljana, SI-1000 Ljubljana, Slovenia)

Abstract

Optimization algorithms are an irreplaceable core component of many contemporary tools used in science and engineering [...]

Suggested Citation

  • Árpád Bűrmen & Tadej Tuma, 2022. "Preface to the Special Issue on “Optimization Theory and Applications”," Mathematics, MDPI, vol. 10(24), pages 1-3, December.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:24:p:4790-:d:1005437
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    References listed on IDEAS

    as
    1. Martín Alejandro Valencia-Ponce & Esteban Tlelo-Cuautle & Luis Gerardo de la Fraga, 2021. "Estimating the Highest Time-Step in Numerical Methods to Enhance the Optimization of Chaotic Oscillators," Mathematics, MDPI, vol. 9(16), pages 1-15, August.
    2. Alberto Olivares & Ernesto Staffetti, 2021. "Optimal Control Applied to Vaccination and Testing Policies for COVID-19," Mathematics, MDPI, vol. 9(23), pages 1-22, December.
    3. Oscar Danilo Montoya & Francisco David Moya & Arul Rajagopalan, 2022. "Annual Operating Costs Minimization in Electrical Distribution Networks via the Optimal Selection and Location of Fixed-Step Capacitor Banks Using a Hybrid Mathematical Formulation," Mathematics, MDPI, vol. 10(9), pages 1-14, May.
    4. Qiuying Li & Sanhua Wang, 2021. "Arcwise Connectedness of the Solution Sets for Generalized Vector Equilibrium Problems," Mathematics, MDPI, vol. 9(20), pages 1-9, October.
    5. Petr Coufal & Štěpán Hubálovský & Marie Hubálovská & Zoltan Balogh, 2021. "Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems," Mathematics, MDPI, vol. 9(21), pages 1-26, November.
    6. Matevž Kunaver & Árpád Bűrmen & Iztok Fajfar, 2022. "Automatic Grammatical Evolution-Based Optimization of Matrix Factorization Algorithm," Mathematics, MDPI, vol. 10(7), pages 1-22, April.
    7. Shai Gul & Reuven Cohen, 2021. "Efficient Covering of Thin Convex Domains Using Congruent Discs," Mathematics, MDPI, vol. 9(23), pages 1-10, November.
    8. Javier Cano & Cesar Alfaro & Javier Gomez & Abraham Duarte, 2022. "Out of the Niche: Using Direct Search Methods to Find Multiple Global Optima," Mathematics, MDPI, vol. 10(9), pages 1-20, April.
    9. Vojtech Graf & Dusan Teichmann & Michal Dorda & Lenka Kontrikova, 2021. "Dynamic Model of Contingency Flight Crew Planning Extending to Crew Formation," Mathematics, MDPI, vol. 9(17), pages 1-28, September.
    10. Suyu Wang & Dengcheng Ma & Miao Wu, 2022. "A Quick Search Dynamic Vector-Evaluated Particle Swarm Optimization Algorithm Based on Fitness Distance," Mathematics, MDPI, vol. 10(9), pages 1-13, May.
    11. Oscar Danilo Montoya & Carlos Andrés Ramos-Paja & Luis Fernando Grisales-Noreña, 2022. "An Efficient Methodology for Locating and Sizing PV Generators in Radial Distribution Networks Using a Mixed-Integer Conic Relaxation," Mathematics, MDPI, vol. 10(15), pages 1-17, July.
    12. Žiga Rojec & Iztok Fajfar & Árpád Burmen, 2022. "Evolutionary Synthesis of Failure-Resilient Analog Circuits," Mathematics, MDPI, vol. 10(1), pages 1-20, January.
    13. Árpád Bűrmen & Tadej Tuma & Jernej Olenšek, 2021. "Randomized Simplicial Hessian Update," Mathematics, MDPI, vol. 9(15), pages 1-18, July.
    14. Javad Balooee & Shih-Sen Chang & Lin Wang & Zhaoli Ma, 2022. "Algorithmic Aspect and Convergence Analysis for System of Generalized Multivalued Variational-like Inequalities," Mathematics, MDPI, vol. 10(12), pages 1-40, June.
    15. Žiga Rojec & Tadej Tuma & Jernej Olenšek & Árpád Bűrmen & Janez Puhan, 2022. "Meta-Optimization of Dimension Adaptive Parameter Schema for Nelder–Mead Algorithm in High-Dimensional Problems," Mathematics, MDPI, vol. 10(13), pages 1-16, June.
    16. Jose-Cruz Nuñez-Perez & Vincent-Ademola Adeyemi & Yuma Sandoval-Ibarra & Francisco-Javier Perez-Pinal & Esteban Tlelo-Cuautle, 2021. "Maximizing the Chaotic Behavior of Fractional Order Chen System by Evolutionary Algorithms," Mathematics, MDPI, vol. 9(11), pages 1-22, May.
    17. Maximilian Roth & Georg Franke & Stephan Rinderknecht, 2022. "A Comprehensive Approach for an Approximative Integration of Nonlinear-Bivariate Functions in Mixed-Integer Linear Programming Models," Mathematics, MDPI, vol. 10(13), pages 1-17, June.
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