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Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications
Saroj Kumar Sahoo, Apu Kumar Saha, Absalom El-Shamir Ezugwu, Jeffrey Ovre Agushaka, Belal Abuhaija, Anas Ratib Alsoud, Laith Abualigah
National Institute of Technology Agartala University of KwaZulu-Natal Wenzhou-Kean University Al-Ahliyya Amman University
来源Archives of Computational Methods in Engineering
年份2022
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5.90
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计算机 / AIMetaheuristic Optimization Algorithms Research
Advanced Multi-Objective Optimization Algorithms · Antenna Design and Optimization
参考文献 150
Monarch butterfly optimization
被引 997Gai‐Ge Wang, Suash Deb, Zhihua Cui · Neural Computing and Applications · 2015
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
被引 2,768Seyedali Mirjalili · Neural Computing and Applications · 2015
Teaching–learning-based optimization with learning experience of other learners and its application
被引 105Feng Zou, Lei Wang, Xinhong Hei · Applied Soft Computing · 2015
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引用本文 85
Predicting daily heating energy consumption in residential buildings through integration of random forest model and meta-heuristic algorithms
被引 84Weiyan Xu, Jielei Tu, Ning Xu · Energy · 2024
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
被引 60Saroj Kumar Sahoo, Essam Halim Houssein, M. Premkumar · Expert Systems with Applications · 2023
Sustainable supply chain decision-making in the automotive industry: A data-driven approach
被引 43Hanieh Zareian Beinabadi, Vahid Baradaran, Alireza Rashidi Komijan · Socio-Economic Planning Sciences · 2024
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