A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques

• URL: http://arxiv.org/abs/2201.12810v1
• Date: Sun, 30 Jan 2022 13:25:23 GMT
• Title: A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques
• Authors: Soumitri Chattopadhyay, Aritra Marik, Rishav Pramanik
• Abstract summary: This chapter focuses on meta-heuristic algorithms modelled upon non-linear physical phenomena having a concrete optimization paradigm. Specifically, this chapter focuses on several popular physics-based metaheuristics as well as describing the underlying unique physical processes associated with each algorithm.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Metaheuristic algorithms are methods devised to efficiently solve computationally challenging optimization problems. Researchers have taken inspiration from various natural and physical processes alike to formulate meta-heuristics that have successfully provided near-optimal or optimal solutions to several engineering tasks. This chapter focuses on meta-heuristic algorithms modelled upon non-linear physical phenomena having a concrete optimization paradigm, having shown formidable exploration and exploitation abilities for such optimization problems. Specifically, this chapter focuses on several popular physics-based metaheuristics as well as describing the underlying unique physical processes associated with each algorithm.

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