Research Area:  Metaheuristic Computing

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 metaheuristic 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.

Keywords:  
metaheuristic algorithms
efficient
computational
optimal solutions
engineering tasks
exploration
exploitation

Author(s) Name:  Soumitri Chattopadhyay, Aritra Marik, Rishav Pramanik

Publisher name:  arXiv

DOI:  10.48550/arXiv.2201.12810

Volume Information:  2201.12810v1

Paper Link:   https://arxiv.org/abs/2201.12810