A Plant Propagation Algorithm for Constrained Engineering Optimisation Problems

Abstract

Optimisation problems arising in industry are some of the hardest, often because of the tight specifications of the products involved. They are almost invariably constrained and they involve highly nonlinear, and non-convex functions both in the objective and in the constraints. It is also often the case that the solutions required must be of high quality and obtained in realistic times. Although there are already a number of well performing optimisation algorithms for such problems, here we consider the novel Plant Propagation Algorithm (PPA) which on continuous problems seems to be very competitive. It is presented in a modified form to handle a selection of problems of interest. Comparative results obtained with PPA and state-of-the-art optimisation algorithms of the Nature-inspired type are presented and discussed. On this selection of problems, PPA is found to be as good as and in some cases superior to these algorithms.

Improved Solutions for the Optimal Coordination of DOCRs Using Firefly Algorithm

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Dynamic Deployment of Homogeneous Sensor Nodes Using Plant Propagation Algorithm With Maximum Coverage

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Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays

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