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.
@article{arxiv.1404.0695,
title = {Multi-objective Flower Algorithm for Optimization},
author = {Xin-She Yang and M. Karamanoglu and Xingshi He},
journal= {arXiv preprint arXiv:1404.0695},
year = {2014}
}
Comments
2 figures. arXiv admin note: substantial text overlap with arXiv:1312.5673