Phasor Prticle Swarm Optimization (PPSO)

Phasor Prticle Swarm Optimization (PPSO) inspired from phasor theory in the mathematics.

Phasor particle swarm optimization (PPSO) is a new and primary sample of PSO, based on modeling the particle control parameters with a phase angle (θ), inspired from phasor theory in the mathematics. This phase angle (θ) converts PSO algorithm to a self-adaptive, trigonometric, balanced, and nonparametric meta-heuristic algorithm. The performance of PPSO is tested on real-parameter optimization problems including unimodal and multimodal standard test functions and traditional benchmark functions.

Based on the paper:

Mojtaba Ghasemi, Ebrahim Akbari, Abolfazl Rahimnejad, Seyed Ehsan Razavi, Sahand Ghavidel, and Li Li. "Phasor particle swarm optimization: a simple and efficient variant of PSO." Soft Computing 23, no. 19 (2019): 9701-9718. DOI: https://doi.org/10.1007/s00500-018-3536-8

The full-text view-only version of the paper is available at: https://rdcu.be/720D