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Journals / Endüstri Mühendisliği / 2026 / Cilt: 32 Sayı: 2

A COMPARATIVE ANALYSIS OF CONSTRAINT-HANDLING MECHANISMS FOR SOLVING ENGINEERING DESIGN PROBLEMS

MÜHENDİSLİK TASARIM PROBLEMLERİNİ ÇÖZMEK İÇİN KISIT-YÖNETİMİ MEKANİZMALARININ KARŞILAŞTIRMALI BİR ANALİZİ

İlker Gölcük(İZMİR BAKIRÇAY ÜNİVERSİTESİ)0000-0002-8430-7952
Pages
201–216
Publication Date
2021-08-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The nonparametric statistical analysis incorporating Nemenyi and Holm post-hoc procedures shows that the inverse tangent constraint-handling and eclectic penalty methods exhibit high performance in real-life mechanical design problems.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Optimization problems have numerous real-life applications in science and engineering.
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Key Findings & Data:The constraint-handling techniques are used along with the whale optimization algorithm, and 19 real-life mechanical design problems, which are also part of the CEC2020 benchmark suite, are tested in the experimental analysis.
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Conclusion & Impact:The nonparametric statistical analysis incorporating Nemenyi and Holm post-hoc procedures shows that the inverse tangent constraint-handling and eclectic penalty methods exhibit high performance in real-life mechanical design problems.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Kısıt-yönetimi Mekanizmaları · Kısıtlı Optimizasyon · Metasezgisel Optimizasyon

Abstract

Optimization problems have numerous real-life applications in science and engineering. The engineering design problems are usually subject to various constraints. Although many state-of-the-art metaheuristic optimization algorithms have been developed during the last decades, these algorithms require additional constraint-handling mechanisms to cope with constrained optimization problems. Therefore, selecting a suitable constraint-handling mechanism requires extensive trial-and-error experiments, which is time-consuming and demanding. In this study, a comparative analysis of the eight constraint handling mechanisms is carried out, guiding decision-makers in their optimization practices. The constraint-handling techniques are used along with the whale optimization algorithm, and 19 real-life mechanical design problems, which are also part of the CEC2020 benchmark suite, are tested in the experimental analysis. The nonparametric statistical analysis incorporating Nemenyi and Holm post-hoc procedures shows that the inverse tangent constraint-handling and eclectic penalty methods exhibit high performance in real-life mechanical design problems.

Özet

Optimizasyon problemlerinin bilim ve mühendislikte çok sayıda gerçek yaşam uygulaması vardır. Mühendislik tasarım problemleri genellikle çeşitli kısıtlamalara tabidir. Son on yılda birçok modern meta-sezgisel optimizasyon algoritması geliştirilmiş olsa da bu algoritmalar, kısıtlı optimizasyon problemleriyle başa çıkmak için ek kısıt-yönetimi mekanizmaları gerektirir. Bu nedenle, uygun bir kısıt-yönetimi mekanizmasının seçilmesi, zaman alıcı ve zorlu olan kapsamlı deneme yanılma deneyleri gerektirir. Bu çalışmada, karar vericilere optimizasyon uygulamalarında yol gösterecek şekilde sekiz kısıt-yönetimi mekanizmasının karşılaştırmalı bir analizi gerçekleştirilmiştir. Kısıt-yönetimi teknikleri, balina optimizasyon algoritmasıyla birlikte kullanılmış ve deneysel analizde yine CEC2020 kıyaslama paketinin bir parçası olan 19 gerçek hayat mekanik tasarım problemi test edilmiştir. Nemenyi ve Holm post-hoc prosedürlerini içeren nonparametrik istatistiksel analiz, ters tanjant kısıt-yönetimi ve eklektik ceza yöntemlerinin gerçek hayattaki mekanik tasarım problemlerinde yüksek performans sergilediğini göstermektedir.

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Cite This Article

Gölcük, İ. (2021). A COMPARATIVE ANALYSIS OF CONSTRAINT-HANDLING MECHANISMS FOR SOLVING ENGINEERING DESIGN PROBLEMS. Endüstri Mühendisliği, Cilt: 32 Sayı: 2, 201–216. https://doi.org/10.46465/endustrimuhendisligi.826148

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