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Physics-Inspired Optimization Algorithms: A Survey

Author

Listed:
  • Anupam Biswas
  • K. K. Mishra
  • Shailesh Tiwari
  • A. K. Misra

Abstract

Natural phenomenon can be used to solve complex optimization problems with its excellent facts, functions, and phenomenon. In this paper, a survey on physics-based algorithm is done to show how these inspirations led to the solution of well-known optimization problem. The survey is focused on inspirations that are originated from physics, their formulation into solutions, and their evolution with time. Comparative studies of these noble algorithms along with their variety of applications have been done throughout this paper.

Suggested Citation

  • Anupam Biswas & K. K. Mishra & Shailesh Tiwari & A. K. Misra, 2013. "Physics-Inspired Optimization Algorithms: A Survey," Journal of Optimization, Hindawi, vol. 2013, pages 1-16, June.
    • Handle: RePEc:hin:jjopti:438152
    DOI: 10.1155/2013/438152
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    References listed on IDEAS

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    2. Debels, Dieter & De Reyck, Bert & Leus, Roel & Vanhoucke, Mario, 2006. "A hybrid scatter search/electromagnetism meta-heuristic for project scheduling," European Journal of Operational Research, Elsevier, vol. 169(2), pages 638-653, March.
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    Cited by:

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    2. En-Jui Liu & Yi-Hsuan Hung & Che-Wun Hong, 2021. "Improved Metaheuristic Optimization Algorithm Applied to Hydrogen Fuel Cell and Photovoltaic Cell Parameter Extraction," Energies, MDPI, vol. 14(3), pages 1-16, January.
    3. Devidas G. Jadhav & Shyam S. Pattnaik & Sanjoy Das, 2014. "Memetic Algorithm with Local Search as Modified Swine Influenza Model-Based Optimization and Its Use in ECG Filtering," Journal of Optimization, Hindawi, vol. 2014, pages 1-22, January.
    4. Damijan Novak & Domen Verber & Jani Dugonik & Iztok Fister, 2020. "A Comparison of Evolutionary and Tree-Based Approaches for Game Feature Validation in Real-Time Strategy Games with a Novel Metric," Mathematics, MDPI, vol. 8(5), pages 1-19, May.

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