Multi-objective Flower Algorithm for Optimization
Year: 2013
Type: conference-paper
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.
Source: Procedia Computer Science
Authors: Xin-She Yang, Mehmet Karamanoglu, Xingshi He
Institutions: Middlesex University London, Xi'an Polytechnic University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2004061489