Výsledky vyhledávání - "Optimization Algorithm"

The Arithmetic Optimization Algorithm Autor Abualigah, Laith, Diabat, Ali, Mirjalili, Seyedali, Abd Elaziz, Mohamed, Gandomi, Amir H.

“…This work proposes a new meta-heuristic method called Arithmetic Optimization Algorithm (AOA) that utilizes the distribution behavior of the main arithmetic…”
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A conceptual and practical comparison of PSO-style optimization algorithms Autor Tharwat, Alaa, Schenck, Wolfram

“…Optimization algorithms are widely employed for finding optimal solutions in many applications. Stochastic optimization algorithms including nature-inspired…”
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The defect of the Grey Wolf optimization algorithm and its verification method Autor Niu, Peifeng, Niu, Songpeng, liu, Nan, Chang, Lingfang

“…Grey wolf optimization algorithm (GWO) is a new meta-heuristic optimization technology. Its principle is to imitate the behavior of grey wolves in nature to…”
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NGBoost-based prediction of carbonation in Alkali-activated slag concrete enhanced by metaheuristic algorithms Autor Chen, Yun, Fu, Qianwang, Zheng, Wenbo

“…Concrete carbonation represents a critical deterioration mechanism that significantly compromises the long-term structural integrity of reinforced concrete…”
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A cooperative hybrid breeding swarm intelligence algorithm for feature selection Autor Mei, Mengqing, Zhang, Songsong, Ye, Zhiwei, Wang, Mingwei, Zhou, Wen, Yang, Jia, Zhang, Jixin, Yan, Lingyu, Shen, Jun

“…Feature selection (FS) is critical for reducing dimensionality and enhancing model accuracy but remains challenging in high-dimensional datasets. Metaheuristic…”
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Boosted sooty tern optimization algorithm for global optimization and feature selection Autor Houssein, Essam H., Oliva, Diego, Çelik, Emre, Emam, Marwa M., Ghoniem, Rania M.

“…Feature selection (FS) represents an optimization problem that aims to simplify and improve the quality of highly dimensional datasets through selecting…”
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A New Arithmetic Optimization Algorithm for Solving Real-World Multiobjective CEC-2021 Constrained Optimization Problems: Diversity Analysis and Validations Autor Premkumar, Manoharan, Jangir, Pradeep, Kumar, Balan Santhosh, Sowmya, Ravichandran, Alhelou, Hassan Haes, Abualigah, Laith, Yildiz, Ali Riza, Mirjalili, Seyedali

“…In this paper, a new Multi-Objective Arithmetic Optimization Algorithm (MOAOA) is proposed for solving Real-World constrained Multi-objective Optimization…”
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Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms Autor Adnan, Rana Muhammad, Mostafa, Reham R., Islam, Abu Reza Md. Towfiqul, Kisi, Ozgur, Kuriqi, Alban, Heddam, Salim

“…•Two novel algorithms, WCA and MFO with ANFIS are examined in modeling monthly ETo.•ANFIS-WCAMFO enhances the performance in RMSE in comparison of standalone…”
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Analysis and Research of Several New Intelligent Optimization Algorithms Autor ZHANG Jiulong, WANG Xiaofeng, LU Lei, NIU Pengfei

“…Intelligent optimization algorithms (IOA) refer to a kind of algorithm that is used to solve optimization problems by imitating the survival and evolution…”
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Parameter identification of solar cells using improved Archimedes Optimization Algorithm Autor Krishnan, Harvin, Islam, Muhammad Shafiqul, Ahmad, Mohd Ashraf, Rashid, Muhammad Ikram Mohd

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Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems Autor Fu, Youfa, Liu, Dan, Chen, Jiadui, He, Ling

“…This study introduces a novel population-based metaheuristic algorithm called secretary bird optimization algorithm (SBOA), inspired by the survival behavior…”
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Hybrid whale optimization algorithm with gathering strategies for high-dimensional problems Autor Zhang, Xinming, Wen, Shaochen

“…•A novel two-stage individual-based Whale Optimization Algorithm is proposed.•Opposition learning and grey wolf optimizer are added to raise solution…”
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Three-learning strategy particle swarm algorithm for global optimization problems Autor Zhang, Xinming, Lin, Qiuying

“…[Display omitted] •A med-point-example learning strategy is proposed to get stronger exploitation.•A random learning strategy is introduced to obtain stronger…”
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Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System Autor Habib, Salman, Abbas, Ghulam, Jumani, Touqeer A., Bhutto, Aqeel Ahmed, Mirsaeidi, Sohrab, Ahmed, Emad M.

“…The proportional integral derivative (PID) controller is one of the most robust and simplest configuration controllers used for industrial applications…”
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A novel UAV path planning approach: Heuristic crossing search and rescue optimization algorithm Autor Zhang, Chaoqun, Zhou, Wenjuan, Qin, Weidong, Tang, Weidong

“…Unmanned aerial vehicle (UAV) path planning plays an important role in the flight process of an UAV, which needs an effective algorithm to deal with UAV path…”
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Heap-based optimizer inspired by corporate rank hierarchy for global optimization Autor Askari, Qamar, Saeed, Mehreen, Younas, Irfan

“…•Heap-based optimizer (HBO) inspired by corporate rank hierarchy (CRH) is proposed.•HBO utilizes heap to map the hierarchy and model equations for 3 CRH…”
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Genetic algorithms as classical optimizer for the Quantum Approximate Optimization Algorithm Autor Acampora, Giovanni, Chiatto, Angela, Vitiello, Autilia

“…Optimization is one of the research areas where quantum computing could bring significant benefits. In this scenario, a hybrid quantum–classical variational…”
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New binary whale optimization algorithm for discrete optimization problems Autor Hussien, Abdelazim G., Hassanien, Aboul Ella, Houssein, Essam H., Amin, Mohamed, Azar, Ahmad Taher

“…The whale optimization algorithm (WOA) is an intelligence-based technique that simulates the hunting behaviour of humpback whales in nature. In this article,…”
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A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection Autor Abdel-Basset, Mohamed, El-Shahat, Doaa, El-henawy, Ibrahim, de Albuquerque, Victor Hugo C., Mirjalili, Seyedali

“…•Anew Grey Wolf Optimizer algorithm with a Two-phase Mutation (TMGWO) is proposed.•Wrapper-based feature selection techniques are proposed using TMGWO…”
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Binary butterfly optimization approaches for feature selection Autor Arora, Sankalap, Anand, Priyanka

“…•Two binary variants of the butterfly optimization algorithm (BOA) are proposed.•Two transfer functions are used to map the continuous search space to discrete…”
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