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Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2021 / Cilt: 11 - Sayı: 2

Differential gradient evolution plus algorithm for constraint optimizationproblems: A hybrid approach

Muhammad Farhan TABASSUM
Mehraj-ud-din NAIK
Sana AKRAM
Saadia HASSAN
Muhammad FARMAN
Hijaz AHMAD
Rabia KARIM
Parvaiz Ahmad NAIK
Mehmet YAVUZ
Pages
158–177
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

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

To evaluate the efficiency, robustness, andreliability of DGE+ it has been applied on seven benchmark constraint problems,the results of comparison revealed that the proposed algorithm can provide verycompact, competitive and promising performance.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Optimization for all disciplines is very important and applicable.
📊
Key Findings & Data:Optimization hasplayed a key role in practical engineering problems.
💡
Conclusion & Impact:To evaluate the efficiency, robustness, andreliability of DGE+ it has been applied on seven benchmark constraint problems,the results of comparison revealed that the proposed algorithm can provide verycompact, competitive and promising performance.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Optimization for all disciplines is very important and applicable. Optimization hasplayed a key role in practical engineering problems. A novel hybrid meta-heuristicoptimization algorithm that is based on Differential Evolution (DE), GradientEvolution (GE) and Jumping Technique named Differential Gradient EvolutionPlus (DGE+) are presented in this paper. The proposed algorithm hybridizes theabove-mentioned algorithms with the help of an improvised dynamic probabilitydistribution, additionally provides a new shake off method to avoid prematureconvergence towards local minima. To evaluate the efficiency, robustness, andreliability of DGE+ it has been applied on seven benchmark constraint problems,the results of comparison revealed that the proposed algorithm can provide verycompact, competitive and promising performance.

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Cite This Article

TABASSUM, M. F., NAIK, M., AKRAM, S., HASSAN, S., FARMAN, M., AHMAD, H., KARIM, R., NAIK, P. A., YAVUZ, M. (2022). Differential gradient evolution plus algorithm for constraint optimizationproblems: A hybrid approach. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 11 - Sayı: 2, 158–177. https://ajindex.com/articles/440551

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