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arXiv · 1404.0695

Multi-objective Flower Algorithm for Optimization

Xin-She Yang·M. Karamanoglu·Xingshi He
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Abstract

Flower pollination algorithm is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, we extend this flower algorithm to solve multi-objective optimization problems in engineering. By using the weighted sum method with random weights, we show that the proposed multi-objective flower algorithm can accurately find the Pareto fronts for a set of test functions. We then solve a bi-objective disc brake design problem, which indeed converges quickly.

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Xin-She Yang, M. Karamanoglu, Xingshi He. 2014-04-02. Multi-objective Flower Algorithm for Optimization. https://doi.org/10.1016/j.procs.2013.05.251

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