Multiobjective Design Optimization using Flower Pollination Algorithm
Hamed Ould Sidi, Rachid Ellaia, Emmanuel Pagnacco, Ahmed Tchvagha Zeine · 2021
In this paper, we develop a new algorithm Multi-objective Optimization Flower Pollination Algorithm (MOPFA) to solve the multi-objective problems. This algorithm presents a novel method to calculate the Pareto front. We test the performance of the algorithm by benchmark functions. The different types of multi-objective problems are optimized in this paper. The numerical results demonstrate not only the effectiveness of the algorithm compared to MOEAs algorithm, but also its rapidity and efficiency.