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Status: Unchecked ×Keyword: supply chain optimization ×Clear all

3 claims from 1 paper

1. Computer Science › Metaheuristic Optimization Algorithms Research

   WOA: Wombat Optimization Algorithm for Solving Supply Chain Optimization Problems

   Benmamoun, Khlie, Dehghani and Gherabi · Mathematics · 2024

   The paper introduces a wombat-inspired optimisation algorithm and tests it against twelve established algorithms on standard benchmark suites and real-world-style constrained and engineering design problems.

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   1. UncheckedIn the paper's simulations, the Wombat Optimization Algorithm beat twelve other algorithms on most benchmark functions and ranked first overall.“The outcomes of the simulations reveal that WOA outperforms the other algorithms, achieving superior results across most benchmark functions and securing the top ranking as the most efficient optimizer.”
   2. UncheckedThe authors report that a Wilcoxon rank sum test shows their Wombat Optimization Algorithm significantly outperforms the other algorithms it was compared with.“Using a Wilcoxon rank sum test statistical analysis, it has been proven that WOA outperforms other algorithms significantly.”
   3. UncheckedIn simulations on constrained real-world problems, the Wombat Optimization Algorithm gave better solutions than the competing algorithms it was compared with.“The results of the simulations demonstrate that WOA excels in real-world applications by delivering superior solutions and outperforming its competitors.”