Results 31 to 40 of about 6,414 (217)
Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm
Mathematics, 2022 This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset +3 more
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Experienced grey wolf optimizer through reinforcement learning and neural networks [PDF]
, 2017 In this paper, a variant of Grey Wolf Optimizer (GWO) that uses reinforcement learning principles combined with neural networks to enhance the performance is proposed.
Emary, E, Grosan, C, Zawbaa, HM
core +1 more source
Elektronika ir Elektrotechnika, 2020 The mathematical model of load frequency control is established in the interconnected power system of hydro, thermal, and wind for solving the problem of frequency instability in this paper. Besides, the improved grey wolf optimization algorithm (GWO) is
Fannie Kong, Jinfang Li, Daliang Yang
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Grey Wolf Optimizer (GWO) Algorithm to Solve the Partitional Clustering Problem
International Journal of Intelligent Systems and Applications in Engineering, 2019 The clustering which is an unsupervised classification method is very important for data processing applications. The main purpose of the clustering is to separate the data samples into different groups by using the similarity (or dissimilarity) between data samples. There are many conventional and heuristic algorithms which are used for the clustering
KARAKOYUN, Murat +2 more
openaire +3 more sources
An Improved Grey Wolf Optimizer and Its Application in Robot Path Planning
Biomimetics, 2023 This paper discusses a hybrid grey wolf optimizer utilizing a clone selection algorithm (pGWO-CSA) to overcome the disadvantages of a standard grey wolf optimizer (GWO), such as slow convergence speed, low accuracy in the single-peak function, and easily
Yun Ou, Pengfei Yin, Liping Mo
doaj +1 more source
Multi-objective Economic Emission Load Dispatch using Grey Wolf Optimization [PDF]
, 2016 This paper presents grey wolf optimization method for solving multi-objective economic emission load dispatch (EELD) problem in diverse test power systems. Grey Wolf Optimization (GWO) is a new meta-heuristic motivated from grey wolf.
Chopra, N. (Nitish) +2 more
core +1 more source
Optimum Network Reconfiguration using Grey Wolf Optimizer [PDF]
, 2018 The objective of this paper is to determine an optimal network reconfiguration that presents the minimum losses considering network constraints using Grey Wolf Optimizer (GWO) algorithm.
Arif, Salem +3 more
core +3 more sources
Jordanian Journal of Computers and Information Technology, 2021 The Grey Wolf Optimizer (GWO) is a very recently developed and emerging swarm-intelligent algorithm. The GWO algorithm was inspired by the social dominance hierarchy and hunting strategy of the grey wolves that has been successfully tailored to tackle ...
Alok Kumar, Lekhraj, Anoj Kumar
doaj +1 more source
Optimal progressive classification study using SMOTE-SVM for stages of lung disease [PDF]
, 2023 Data used in big data applications are typically kept in decentralized computing resources in the real world, which has an impact on the design of artificial intelligence algorithms. When there are significantly more observations from one class than from
Paramasivan, B., Sujitha, R.
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Journal of Soft Computing in Civil Engineering, 2022 Although the exploitation of GWO advances sharply, it has limitations for continuous implementing exploration. On the other hand, the EHO algorithm easily has shown its capability to prevent local optima. For hybridization and by considering the advantages of GWO and the abilities of EHO, it would be impressive to combine these two algorithms.
Hoseini, Zaynab +3 more
openaire +2 more sources