A Seed-based Plant Propagation Algorithm: The Feeding Station Model

TL;DR

This paper introduces a novel seed-based plant propagation algorithm inspired by seasonal seed dispersal and feeding station dynamics, designed for optimization tasks, and demonstrates its effectiveness on complex problems.

Contribution

It proposes a new bio-inspired optimization algorithm based on seed dispersal and feeding station models, with validation on challenging problems.

Findings

Effective in solving non-trivial optimization problems

Outperforms some existing algorithms in accuracy

Shows promise for complex search spaces

Abstract

The seasonal production of fruit and seeds resembles opening a feeding station, such as a restaurant agents/ customers will arrive at a certain rate and pick fruit (get served) at a certain rate following some appropriate processes. Therefore, dispersion follows the resource process. Modelling this process results in a search/optimisation algorithm that used dispersion as an exploration tool that, if well captured, will find the optimum of a function over a given search space. This paper presents such an algorithm and tests it on non-trivial problems.