Suchergebnisse - "Metaheuristic Optimization Algorithms"

Metaheuristic optimization algorithms for real-world electrical and civil engineering application: A review von Rezk, Hegazy, Ghani Olabi, Abdul, Wilberforce, Tabbi, Taha Sayed, Enas

“… Metaheuristic optimization algorithms (MOAs) are gaining increasing interest because of their exceptional effectiveness in addressing many optimization issues …”
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Performance evaluation of a novel self-tuning particle swarm optimization algorithm-based maximum power point tracker for porton exchange membrane fuel cells under different operating conditions von Refaat, Ahmed, Elbaz, Ahmed, Khalifa, Abd-Elwahab, Mohamed Elsakka, Mohamed, Kalas, Ahmed, Hegazy Elfar, Medhat

“… •Proposing a novel tracking technique based on Self-Tuning Particle Swarm Optimization.•Performance of the proposed algorithm is compared with other …”
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An optimized machine learning framework for prediction of coal abrasive index: Leveraging supervised learning, metaheuristic optimization, and interpretability analysis von Qi, Hongning, Zhou, Jian, Khandelwal, Manoj, Onifade, Moshood, Lawal, Abiodun Ismail, Li, Chuanqi, Bada, Samson Oluwaseyi, Genc, Bekir

“… •The study compares 18 supervised learning models for Abrasive Index (AI) prediction using 129 coal samples from South Africa's Witbank Coalfield.•Eight …”
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Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction von Li, Jingze, Li, Chuanqi, Zhang, Shaohe

“… The uniaxial compressive strength (UCS) is one of the most important parameters for judging the mechanical behaviorbehaviourof rock mass in rock engineering …”
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GOOSE algorithm: a powerful optimization tool for real-world engineering challenges and beyond von Hamad, Rebwar Khalid, Rashid, Tarik A.

“… This study proposes the GOOSE algorithm as a novel metaheuristic algorithm based on the goose's behavior during rest and foraging. The goose stands on one leg …”
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Evaluation of students' performance during the academic period using the XG-Boost Classifier-Enhanced AEO hybrid model von Cheng, Biqian, Liu, Yuping, Jia, Yunjian

“… The proactive prediction and systematic classification of students' academic performance empower educational administrators with the invaluable capability to …”
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A novel study on power consumption of an HVAC system using CatBoost and AdaBoost algorithms combined with the metaheuristic algorithms von Bian, Jianxiao, Wang, Jiarui, Yece, Qian

“… Efficient power management is fundamental for organizations and systems to conserve resources, reduce costs, and improve environmental sustainability. To …”
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AnFiS-MoH: Systematic exploration of hybrid ANFIS frameworks via metaheuristic optimization hybridization with evolutionary and swarm-based algorithms von Wang, Haoyu, Chen, Bin, Sun, Hangling, Li, Anji, Zhou, Chenyu

“… The adaptive neuro-fuzzy inference system (ANFIS) has shown promising performance in modeling nonlinear problems, leveraging the strengths of both neural …”
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Thinking Innovation Strategy (TIS): A novel mechanism for metaheuristic algorithm design and evolutionary update von Jia, Heming, Zhou, Xuelian, Zhang, Jinrui

“… The metaheuristic optimization algorithm(MHS) is a global optimization method inspired by natural phenomena, demonstrating superior performance in specific …”
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Sea Lion Optimization Algorithm von Masadeh, Raja, A., Basel, Sharieh, Ahmad

“… This paper suggests a new nature inspired metaheuristic optimization algorithm which is called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm …”
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A novel benchmark shading pattern for PV maximum power point trackers evaluation von Eltamaly, Ali M.

“… •Problems and solutions of MPPT of PV systems incorporating metahuristic optimization algorithms.•Improving the limitations involoved in the existing solutions …”
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Optimal parameter identification strategy applied to lithium-ion battery model for electric vehicles using drive cycle data von Ghadbane, Houssam Eddine, Rezk, Hegazy, Ferahtia, Seydali, Barkat, Said, Al-Dhaifallah, Mujahed

“… The optimal parameter identification of lithium-ion (Li-ion) battery models is essential for accurately capturing battery behavior and performance in electric …”
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Optimized prediction models for faulting failure of Jointed Plain concrete pavement using the metaheuristic optimization algorithms von Ehsani, Mehrdad, Hamidian, Pouria, Hajikarimi, Pouria, Moghadas Nejad, Fereidoon

“… •MOEA/D method has the best performance to select 17 features affecting faulting.•ANN- SAA with R2 value of 0.976 has been the best model for predicting …”
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Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material von Mei, Xiancheng, Li, Chuanqi, Cui, Zhen, Sheng, Qian, Chen, Jian, Li, Shaojun

“… This study aims to predict the energy absorption property of a novel aseismic concrete material made of rubber, sand and cement. To investigate the energy …”
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Optimal sizing and techno-economic analysis of energy- and cost-efficient standalone multi-carrier microgrid von Lorestani, Alireza, Gharehpetian, G.B., Nazari, Mohammad Hassan

“… The objective of this study is optimal sizing and techno-economic analysis of an energy- and cost-efficient standalone multi-carrier microgrid (SMCMG). This …”
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Community detection from biological and social networks: A comparative analysis of metaheuristic algorithms von Atay, Yilmaz, Koc, Ismail, Babaoglu, Ismail, Kodaz, Halife

“… [Display omitted] •We propose six metaheuristic optimization algorithms to solve the community detection (CD) problem.•The proposed algorithms have been …”
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Excess energy management and techno-economic analysis of optimal designed isolated microgrid with reliability and environmental aspects von Yadav, Subhash, Kumar, Pradeep, Kumar, Ashwani

“… •Optimal sizing of microgrid by minimizing LCOE and keeping high supply reliability.•Restricting the excess energy generation in isolated microgrid with fully …”
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Concrete chloride diffusion modelling using marine creatures-based metaheuristic artificial intelligence von Mohammadi Golafshani, Emadaldin, Kashani, Alireza, Kim, Taehwan, Arashpour, Mehrdad

“… Chloride-induced steel reinforcement corrosion endangers the durability of concrete structures and may cause substantial economic loss and environmental …”
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A physics-data-driven method for predicting surface and building settlement induced by tunnel construction von Wang, You, Fan, Qianjun, Dai, Fang, Wang, Rui, Ding, Bosong

“… Surface and surrounding building settlement is frequently caused by soil disturbance during subway tunnel construction, significantly impacting construction …”
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Real-time residential energy management: Evaluating demand side management strategies and harmonic impact using high-resolution appliance data von Tüysüz, Metin, Okumuş, Halil İbrahim, Çavdar, Bora, Ustübioğlu, Arda

“… Demand side management (DSM) applications such as identification of electrical appliances based on electricity measurements, demand response and load …”
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