Safety Production Management of Hazardous Chemical Products Based on Optimized Genetic Algorithm
Chemical Engineering Transactions, 2018 The improvement of genetic algorithm and its application in Hazardous chemical production are discussed in order to improve the production efficiency of Hazardous chemical industry. The genetic algorithm is improved by using ASPEN method.
Meiyan Du
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Heuristic algorithms applied to the problems of servicing actors in supply chains [PDF]
Archives of Transport, 2017 The paper discusses main decision problems analysed in the subject matter of servicing actors operating in the supply chains, i.e. the vehicle routing problem, vehicles-to-task assignment problem and the problem of entities’ localization in the supply ...
Mariusz Izdebski +3 more
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New Genetic Operators for Developing S-Boxes With Low Boomerang Uniformity
IEEE Access, 2022 The boomerang uniformity measures the resistance of block ciphers to boomerang attacks and has become an essential criterion of the substitution box (S-box).
Man Kang, Mingsheng Wang
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A node selection algorithm with a genetic method based on PBFT in consortium blockchains
Complex & Intelligent Systems, 2022 Industry and research communities have widely studied Blockchain technology, and the consortium blockchain is currently the most used category with a wide range of applications.
Jinyu Zhang +3 more
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Intelligent Test Paper Generation with Genetic Algorithm
Gazi Üniversitesi Fen Bilimleri Dergisi, 2017 In this study, the solution of the problem of generating an intelligent test paper with a genetic algorithm is presented depending on the required criteria in a question bank.
Ufuk TÜL, Adem TUNCER
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Parallel Genetic Algorithms’ Implementation Using a Scalable Concurrent Operation in Python
Sensors, 2022 This paper presents an implementation of the parallelization of genetic algorithms. Three models of parallelized genetic algorithms are presented, namely the Master–Slave genetic algorithm, the Coarse-Grained genetic algorithm, and the Fine-Grained ...
Vladislav Skorpil, Vaclav Oujezsky
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An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
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A New Approach to Solve N-Queen Problem with Parallel Genetic Algorithm [PDF]
Journal of Advances in Computer Engineering and Technology, 2018 Over the past few decades great efforts were made to solve uncertain hybrid optimization problems. The n-Queen problem is one of such problems that many solutions have been proposed for.
Monire Taheri Sarvetamin +2 more
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Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
Shock and Vibration, 2019 When performing flutter analysis through the traditional methods, it is difficult to solve high-order strong nonlinear equations. For overcoming this difficulty, this paper establishes a double-parameter optimization model for searching the flutter ...
Shi-bo Tao, Dian-zhong Liu, Ai-ping Tang
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TEXTURE SYNTHESIS BY GENETIC ALGORITHM
Journal of Engineering, 2007 One way to synthesis texture in a fast and easy way is image quilting proposed by Efros and Freeman in 2001. This research brings the adaptive search power of genetic algorithm and combines it with the concept of image quilting to propose new texture ...
Mayada F. Abdul-Halim Abdul-Halim
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