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Nature-Inspired Optimisation Approaches and the New Plant Propagation Algorithm

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.

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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_
Uncontrolled Keywords: Optimisation, Optimisation methods, Pareto optimisation, Process design.
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science and Health > Mathematical Sciences, Department of
Depositing User: Muhammad Sulaiman
Date Deposited: 19 Dec 2014 10:43
Last Modified: 17 Aug 2017 17:42
URI: http://repository.essex.ac.uk/id/eprint/12110

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