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 metaheuristics that have successfully provided near-optimal or optimal solutions to several engineering tasks. This chapter focuses on metaheuristic algorithms modeled on nonlinear physical phenomena having a concrete optimization paradigm that have shown formidable exploration and exploitation abilities for such optimization problems. Specifically, this chapter focuses on several popular physics-based metaheuristics and describes the underlying unique physical processes associated with each of them.
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