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data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-doc_id="116810498" data-landing_url="https://www.academia.edu/121710507/Flower_pollination_algorithm_A_novel_approach_for_multiobjective_optimization" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="ds-top-related-works--grid-container"><div class="ds-related-content--container ds-top-related-works--container"><h2 class="ds-related-content--heading">Related papers</h2><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="0" data-entity-id="29687660" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/29687660/Engineering_Optimization_Flower_pollination_algorithm_A_novel_approach_for_multiobjective_optimization_Flower_pollination_algorithm_A_novel_approach_for_multiobjective_optimization">Engineering Optimization Flower pollination algorithm: A novel approach for multiobjective optimization Flower pollination algorithm: A novel approach for multiobjective optimization</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="17509" href="https://mdx.academia.edu/MehmetKaramanoglu">Prof Mehmet Karamanoglu</a><span>, </span><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="344652" href="https://cambridge.academia.edu/XinSheYang">Xin-She Yang</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Multiobjective design optimization problems require multiobjective optimization techniques to solve, and it is often very challenging to obtain high-quality Pareto fronts accurately. In this article, the recently developed flower pollination algorithm (FPA) is extended to solve multiobjective optimization problems. The proposed method is used to solve a set of multiobjective test functions and two bi-objective design benchmarks, and a comparison of the proposed algorithm with other algorithms has been made, which shows that the FPA is efficient with a good convergence rate. 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