Results 21 to 30 of about 178 (113)
A Group Search Algorithm for Optimal Scheduling of Cascade Hydropower Stations
Renmin ZhujiangThe coronavirus herd immunity optimizer (CHIO) algorithm was introduced to address the optimal scheduling problem of cascade hydropower plants, and an improved algorithm called LCHIO was proposed.
WANG Kechao, CAI Ruoyi, SHEN Jianjian
doaj +3 more sources
Bacterial Memetic Algorithm for Asymmetric Capacitated Vehicle-Routing Problem [PDF]
, 2022 The vehicle-routing problem (VRP) has many variants, including the most accurate models of real-life transportation tasks, making it one of the most important mathematical problems in the field of logistics.
Botzheim, Janos, Hollo-Szabo, Akos
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IET Electrical Systems in Transportation, Volume 13, Issue 2, June 2023., 2023 Due to the interaction of electric multiple units (EMUs), and the electric traction networks, low frequency oscillations (LFOs) appear that leads to traction blockade and overall stability related issues. For suppressing these LFOs, coronavirus herd immunity optimiser (CHIO), a recently developed meta‐heuristic based on the herd immunity concept in ...
Prasenjit Dey +3 more
wiley +1 more source
Enhancing Rice Leaf Disease Classification: A Customized Convolutional Neural Network Approach [PDF]
, 2023 In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop health and promoting sustainable food production. This study presents a detailed methodology to enhance the accuracy of rice leaf disease classification.
Abasi, Ammar Kamal +4 more
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Dual‐stage day‐ahead optimized performance of renewable‐based microgrids
IET Renewable Power Generation, Volume 17, Issue 8, Page 2050-2063, 8 June 2023., 2023 This paper presents novel meta‐heuristic optimizers to reduce extreme voltage drops and the overall costs of allocating WTGs within microgrids. Arithmetic optimization algorithm, coronavirus herd immunity optimizer, and chimp optimization algorithm are proposed.
Ahmed M. Helmi +3 more
wiley +1 more source
Porcellio scaber Algorithm with t‐Distributed Elite Mutation for Global Optimization
Scientific Programming, Volume 2022, Issue 1, 2022., 2022 As the convergence accuracy of the Porcellio scaber algorithm (PSA) is low, this study proposes an improved algorithm based on the t‐distribution elite mutation mechanism. First, the improved algorithm applies a t‐distribution mutation to each dimension of the optimal solution of each generation.
Chao Zhang, Yi Yang, Qianchuan Zhao
wiley +1 more source
Jordanian Journal of Computers and Information Technology, 2022 In the field of medicine, has resulted in the need to filter these data to find information that is relevant for specific research problems. However, in the realm of scientific study, the process of selecting the appropriate data or features represents a
MOHAMMED ALWESHAH
doaj +1 more source
Lightning search algorithm: a comprehensive survey [PDF]
, 2022 The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is proposed in 2015 to solve constraint optimization problems.
Abualigah, L +5 more
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Flower pollination algorithm parameters tuning [PDF]
, 2021 The flower pollination algorithm (FPA) is a highly efficient metaheuristic optimization algorithm that is inspired by the pollination process of flowering species.
Mergos, P. +3 more
core +1 more source
Role of Metaheuristics in Optimizing Microgrids Operating and Management Issues::A Comprehensive Review [PDF]
, 2023 The increased interest in renewable-based microgrids imposes several challenges, such as source integration, power quality, and operating cost. Dealing with these problems requires solving nonlinear optimization problems that include multiple linear or ...
Olabi, A. G. +3 more
core +1 more source