Výsledky vyhľadávania - "metaheuristic algorithm"

Gradient-based optimizer: A new metaheuristic optimization algorithm Autor Ahmadianfar, Iman, Bozorg-Haddad, Omid, Chu, Xuefeng

“…•The gradient-based optimizer (GBO) inspired by the gradient-based Newton’s search method.•The GBO uses two main operators: gradient search rule (GSR) and…”
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A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean Autor Chou, Jui-Sheng, Truong, Dinh-Nhat

“…•An artificial Jellyfish Search (JS) optimizer inspired by jellyfish behavior is proposed.•JS has only two control parameters, which are population size and…”
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Golden eagle optimizer: A nature-inspired metaheuristic algorithm Autor Mohammadi-Balani, Abdolkarim, Dehghan Nayeri, Mahmoud, Azar, Adel, Taghizadeh-Yazdi, Mohammadreza

“…•A new metaheuristic algorithm called Golden Eagle Optimizer (GEO) is proposed.•Multi-Objective Golden Eagle Optimizer (MOGEO) is proposed for solving…”
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Efficient design, operation and control of commercial proton exchange membrane fuel cells (PEMFCs) in clean energy technology Autor Bakır, Hüseyin, Ağbulut, Ümit

“…Proton exchange membrane fuel cells (PEMFCs) are a promising clean energy technology with the potential to play a significant role in a sustainable energy…”
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An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges Autor Rajwar, Kanchan, Deep, Kusum, Das, Swagatam

“…As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic…”
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Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design Autor Deng, Lingyun, Liu, Sanyang

“…This paper develops a novel nature-inspired metaheuristic technique named snow ablation optimizer (SAO) for numerical optimization and engineering design. The…”
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Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications Autor Zhao, Shijie, Zhang, Tianran, Ma, Shilin, Chen, Miao

“…This paper proposes a novel swarm intelligence bioinspired optimization algorithm, called the Dandelion Optimizer (DO), for solving continuous optimization…”
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Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization Autor Wang, Xiaopeng, Snášel, Václav, Mirjalili, Seyedali, Pan, Jeng-Shyang, Kong, Lingping, Shehadeh, Hisham A.

“…This study proposes a novel artificial protozoa optimizer (APO) that is inspired by protozoa in nature. The APO mimics the survival mechanisms of protozoa by…”
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Walrus optimizer: A novel nature-inspired metaheuristic algorithm Autor Han, Muxuan, Du, Zunfeng, Yuen, Kum Fai, Zhu, Haitao, Li, Yancang, Yuan, Qiuyu

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Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems Autor Yang, Zaoli, Ghadamyari, Mojtaba, Khorramdel, Hossein, Seyed Alizadeh, Seyed Mehdi, Pirouzi, Sasan, Milani, Muhammed, Banihashemi, Farzad, Ghadimi, Noradin

“…Planning of an islanded hybrid system (IHS) with different sources and storages to supply clean, flexible, and highly reliable energy at consumption sites is…”
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Recent Advances in Knapsack Problem: A Comprehensive Review of Models, Algorithms, and Applications Autor Feng, Yanhong, Hu, Tianyu, Chen, Xin-Ao, Wang, Gai-Ge

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A diversity metric for population-based metaheuristic algorithms Autor Osuna-Enciso, Valentín, Cuevas, Erik, Morales Castañeda, Bernardo

“…In Metaheuristic Algorithms (MA), the balance between exploration and exploitation is a common issue considered an open research problem in the MA community…”
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The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems Autor Shadravan, S., Naji, H.R., Bardsiri, V.K.

“…Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve many scientific and engineering problems due to their flexibility and…”
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A novel meta-heuristic optimization algorithm: Thermal exchange optimization Autor Kaveh, A., Dadras, A.

“…•A new optimization algorithm based on Newton's law of cooling is developed.•This new algorithm is called Thermal Exchange Optimization (TEO)…”
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PHEE: Identifying influential nodes in social networks with a phased evaluation-enhanced search Autor Zhu, Enqiang, Wang, Haosen, Zhang, Yu, Zhang, Kai, Liu, Chanjuan

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Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation Autor Chen, Xu, Xu, Bin, Mei, Congli, Ding, Yuhan, Li, Kangji

“…•Teaching-learning-based artificial bee colony algorithm is proposed.•Three hybrid teaching-learning-based bee search phases are presented.•The method is…”
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Optimal data transmission and pathfinding for WSN and decentralized IoT systems using I-GWO and Ex-GWO algorithms Autor Seyyedabbasi, Amir, Kiani, Farzad, Allahviranloo, Tofigh, Fernandez-Gamiz, Unai, Noeiaghdam, Samad

“…Efficient resource use is a very important issue in wireless sensor networks and decentralized IoT-based systems. In this context, a smooth pathfinding…”
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Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization Autor Zamani, Hoda, Nadimi-Shahraki, Mohammad H., Gandomi, Amir H.

“…This paper presents a novel bio-inspired algorithm inspired by starlings’ behaviors during their stunning murmuration named starling murmuration optimizer…”
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Optimization of constrained mathematical and engineering design problems using chaos game optimization Autor Talatahari, Siamak, Azizi, Mahdi

“…•A novel metaheuristic algorithm is proposed for constrained optimization.•Chaos Game Optimization (CGO) algorithm is proposed.•A total number of 34 CEC…”
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A comparative study of global optimization methods for parameter identification of different equivalent circuit models for Li-ion batteries Autor Lai, Xin, Gao, Wenkai, Zheng, Yuejiu, Ouyang, Minggao, Li, Jianqiu, Han, Xuebing, Zhou, Long

“…A suitable model structure and matched model parameters are prerequisites for the precise estimation of the battery states. Previous studies pay little…”
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