Salhi, A and Fraga, ES (2011) Nature-Inspired Optimisation Approaches and the New Plant Propagation Algorithm. In: Proceedings of the The International Conference on Numerical Analysis and Optimization (ICeMATH ?11), ? - ?, Yogyakarta, Indonesia.
Salhi, A and Fraga, ES (2011) Nature-Inspired Optimisation Approaches and the New Plant Propagation Algorithm. In: Proceedings of the The International Conference on Numerical Analysis and Optimization (ICeMATH ?11), ? - ?, Yogyakarta, Indonesia.
Salhi, A and Fraga, ES (2011) Nature-Inspired Optimisation Approaches and the New Plant Propagation Algorithm. In: Proceedings of the The International Conference on Numerical Analysis and Optimization (ICeMATH ?11), ? - ?, Yogyakarta, Indonesia.
Abstract
Nature-inspired algorithms are proving to be very successful on complex optimisation problems. A new algorithm, inspired by the way plants, and in particular the strawberry plant, propagate is presented. The algorithm is explained, tested on standard test functions, and compared with the well known Nelder-Mead algorithm. The new approach is then applied to a complex process design problem that arises in Chlorobenzene purification, a problem that exhibits strong nonlinear behaviour and has a small feasible region.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | Published proceedings: _not provided_ - Notes: |
Uncontrolled Keywords: | Optimisation; Optimisation methods; Pareto optimisation; Process design. |
Subjects: | Q Science > QA Mathematics |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 19 Dec 2014 10:43 |
Last Modified: | 16 May 2024 18:58 |
URI: | http://repository.essex.ac.uk/id/eprint/12110 |
Available files
Filename: Nature Inspired Optimisation Approaches and the New Plant Propagation Algorithm.pdf