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Hybrid quantum search with genetic algorithm optimization [PDF]
PeerJ Computer ScienceQuantum genetic algorithms (QGA) integrate genetic programming and quantum computing to address search and optimization problems. The standard strategy of the hybrid QGA approach is to add quantum resources to classical genetic algorithms (GA), thus ...
Sebastian Mihai Ardelean, Mihai Udrescu
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Using a genetic algorithm to find molecules with good docking scores [PDF]
PeerJ Physical Chemistry, 2021 A graph-based genetic algorithm (GA) is used to identify molecules (ligands) with high absolute docking scores as estimated by the Glide software package, starting from randomly chosen molecules from the ZINC database, for four different targets ...
Casper Steinmann, Jan H. Jensen
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Cargo Vessel Route Rationalization with Chimerical Genetic Algorithm [PDF]
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 2020 One of the most basic problems in logistics is the problem of route rationalization. Route rationalization may be based on different criterions, but at its core it always can be reduced to classic mathematical problems, such as travelling salesman ...
Alexander Kuznetsov, G.B. Popov
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An improved adaptive genetic algorithm [PDF]
SHS Web of Conferences, 2022 Genetic algorithm is a classic intelligent bionic algorithm, which is evolved according to the genetic evolution process of organisms in nature, and has strong global optimization ability.
Han Shifen, Xiao Li
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Perbandingan Fluid Genetic Algorithm dan Genetic Algorithm untuk Penjadwalan Perkuliahan
Jurnal Sisfokom, 2020 The lecture schedule is a problem that belongs to the NP-Hard problem and multi-objective problem because it has several variables that affect the preparation of the schedule and has limitations that must be met. One solution that has been found is using
Muhammad Ezar Al Rivan +1 more
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Российский технологический журнал, 2020 The genetic algorithm of clustering of analysis objects in different data domains has been offered within the hybrid concept of intelligent information technologies development aimed to support decision-making.
M. A. Anfyorov
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Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification [PDF]
IEEE Transactions on Cybernetics, 2018 Convolutional neural networks (CNNs) have gained remarkable success on many image classification tasks in recent years. However, the performance of CNNs highly relies upon their architectures.
Y. Sun +4 more
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Application of Polyalphabetic Substitution Cipher using Genetic Algorithm [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2008 Several Genetic Algorithms have been developed for applications of cryptography problem; the primary distinction among all of them being the G.A. used for decryption problem and obtains the plain text.
Ghusoon Basheer
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A Hybrid Genetic Algorithm Based on Information Entropy and Game Theory
IEEE Access, 2020 To overcome the disadvantages of traditional genetic algorithms, which easily fall to local optima, this paper proposes a hybrid genetic algorithm based on information entropy and game theory.
Li Jiacheng, Li Lei
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Optimization of one-dimensional wire cutting with variable length based on genetic ant colony algorithm [PDF]
MATEC Web of Conferences, 2021 This paper presents an algorithm of one-dimensional wire cutting based on genetic algorithm and ant colony algorithm. Firstly, the dominant solution is screened out by genetic algorithm and transformed into the initial accumulation of pheromone in ant ...
Xia Xin, Wan Defu
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