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1,678 claims from 1,032 papers are on the record. 46 have been checked so far; the other 1,632 have no check with a result yet.

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Status: Unchecked ×Keyword: constrained engineering design ×Clear all

4 claims from 3 papers

1. Computer Science › Metaheuristic Optimization Algorithms Research

   Golden eagle optimizer: A nature-inspired metaheuristic algorithm

   Mohammadi-Balani, Nayeri, Azar and Taghizadeh · Computers & Industrial Engineering · 2020

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   1. UncheckedThe paper says its multi-objective algorithm approximated true Pareto optimal solutions better than the two other multi-objective algorithms it was compared with.“Results were compared to that of two other multi-objective algorithms, which showed that it can approximate true Pareto optimal solutions better than the other two algorithms.”

2. Computer Science › Metaheuristic Optimization Algorithms Research

   Ameliorated elk herd optimizer for global optimization and engineering problems

   Al‐Betar, Braik, Shambour, Al‐Naymat and Porntaveetus · Artificial Intelligence Review · 2025

   The authors improve the elk herd optimiser by adding particle swarm memory and greedy selection, then test it on benchmark suites, four engineering design problems and one industrial process.

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   1. UncheckedThe improved elk herd optimiser (AEHO) performed best on 84% of CEC2014 and 74% of CEC2022 test functions, ranking first in both suites.“Based on the analysis of the experimental findings, AEHO performed optimally on 84% of the CEC2014 functions and 74% of the CEC2022 functions, ranking first in both suites with an average ranking of 3.11 and 1.62, respectively.”
   2. UncheckedThe paper reports that AEHO's mean computation time is about a third of that of the first-ranked method, suggesting greater search efficiency than newer algorithms.“The mean computation time of AEHO is about one-third of the average computation time for the first-ranked method, indicating that AEHO not only performs very well in global searches but also exhibits greater search efficiency when compared to newer optimization algorithms.”

3. Computer Science › Metaheuristic Optimization Algorithms Research

   Fitness Distance Balanced Starfish Optimization for Benchmark and Engineering Design Problems

   Yagbasan, Akyazı, Türe and Dızdaroğlu · Biomimetics · 2026

   The authors added fitness–distance-aware selection to the Starfish Optimization Algorithm, creating two variants, and tested them on standard benchmark suites and constrained engineering design problems.

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   1. UncheckedTwo modified versions of the Starfish Optimization Algorithm improved robustness and search efficiency over the original, with dFDBSFOA the most consistent.“The results show that the proposed variants improve the robustness and search efficiency of baseline SFOA, with dFDBSFOA providing the most consistent overall performance while introducing a controlled and interpretable computational overhead.”