Results 211 to 220 of about 156,806 (296)
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A review of feature selection methods based on meta-heuristic algorithms
Journal of experimental and theoretical artificial intelligence (Print), 2023Feature selection is a real-world problem that finds a minimal feature subset from an original feature set. A good feature selection method, in addition to selecting the most relevant features with less redundancy, can also reduce computational costs and
Zohre Sadeghian +3 more
semanticscholar +1 more source
A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models
Renewable & Sustainable Energy Reviews, 2021Photovoltaic (PV) cells are widely used for their clean and sustainable advantages, forcing researchers to accurately model their characteristics. The behavior of PV cells can be derived from their current–voltage characteristics, depending on their ...
Shuijia Li, Wenyin Gong, Qiong Gu
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Advanced Engineering Informatics, 2021
There is so much interest in online purchasing within supply chain networks nowadays. After expanding the internet access and services, customers’ behavior has changed. Today, a customer’s shopping manner usually begins with the internet search.
A. M. F. Fard +5 more
semanticscholar +1 more source
There is so much interest in online purchasing within supply chain networks nowadays. After expanding the internet access and services, customers’ behavior has changed. Today, a customer’s shopping manner usually begins with the internet search.
A. M. F. Fard +5 more
semanticscholar +1 more source
Affine invariance of meta-heuristic algorithms
Information Sciences, 2021Abstract An algorithm whose performance depends on the objective function being aligned with a privileged coordinate system is a poor choice in general because it is unlikely that the optimal orientation will be known in advance. In this paper, a property of meta-heuristic algorithms, named affine invariance, is introduced to verify whether the ...
ZhongQuan Jian, GuangYu Zhu
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Meta-heuristic bus transportation algorithm
Iran Journal of Computer Science, 2018Over recent decades, several experience-based mathematical models have been proposed. In addition to collective intelligence, in recent years some efforts have been made to apply human experience-based intelligence to open up a new world of possibilities to design new meta-heuristic algorithms for solving NP problems.
Mohammad Bodaghi, Koosha Samieefar
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Network, 2021
This research specifically addresses the prediction of dairy product demand (DPD). Since dairy products have a short consumption period, it is important to have accurate information about their future demand.
A. Goli +5 more
semanticscholar +1 more source
This research specifically addresses the prediction of dairy product demand (DPD). Since dairy products have a short consumption period, it is important to have accurate information about their future demand.
A. Goli +5 more
semanticscholar +1 more source
Image Segmentation Using Meta-heuristic Algorithms
2018 International Conference on Computing, Power and Communication Technologies (GUCON), 2018In this paper, inter-class variance of the two classes of image pixels formed on either side of the threshold value is maximized to perform image segmentation. This process has been automated by the use of evolutionary meta-heuristic algorithms such as Bat Algorithm (BA), Cuckoo Search Algorithm (CSA) and Interior Search Algorithm (ISA).
Varun Saxena +2 more
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Microphone placement through meta-heuristic algorithms
2019 Signal Processing Symposium (SPSympo), 2019This work deals with the problem of sub-optimal placement of microphones in array. The issue of the position of individual microphones is of great importance in the design process of broadband beamforming systems and should not be omitted. In the classic approach, filter coefficients are determined for the determined distribution of microphones so that
Agnieszka Wielgus, Boguslaw Szlachetko
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Introducing an effective meta-heuristic algorithm: Cosmogony algorithm (CA)
Journal of Intelligent & Fuzzy Systems, 2020The purpose of this paper is to introduce a new meta-heuristic algorithm and apply this for solving a multi-objective flexible job-shop scheduling problem. The name of this algorithm is Cosmogony (CA). This algorithm has inspired by the ecosystem process of creatures and their environment.
Shahsavari-Pour, Nasser +2 more
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Local search and meta-heuristic algorithms
2020Suboptimal schedules for intractable time-dependent scheduling problems may be found by using various algorithms. In this chapter, closing the fifth part of the book, we consider local search and meta-heuristic algorithms.
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