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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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Source routing: Best rout using genetic algorithm
Journal of Kufa for Mathematics and Computer, 2010 The success of distributed multimedia traffic presents many challenges to the network designer, certain bandwidth as well as bounds on delay, loss probability and jitter in order to maintain reception quality are issues of Constraint Base Routing (CBR).
Hadeel Noori Saad
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A Phoenix++ Based New Genetic Algorithm Involving Mechanism of Simulated Annealing
International Journal of Distributed Sensor Networks, 2015 Genetic algorithm is easy to fall into local optimal solution. Simulated annealing algorithm may accept nonoptimal solution at a certain probability to jump out of local optimal solution.
Luokai Hu +4 more
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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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Discovering comprehensible classification rules with a genetic algorithm [PDF]
, 2000 Presents a classification algorithm based on genetic algorithms (GAs) that discovers comprehensible IF-THEN rules, in the spirit of data mining. The proposed GA has a flexible chromosome encoding, where each chromosome corresponds to a classification ...
Lopes, Heitor S. +2 more
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PLoS ONE, 2022 Particle swarm optimization and genetic algorithms are two classes of popular heuristic algorithms that are frequently used for solving complex multi-dimensional mathematical optimization problems, each one with its one advantages and shortcomings ...
Panagiotis Aivaliotis-Apostolopoulos +1 more
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Genetic algorithm and application
ScienceOpen Research, 2023 Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. They are considered as a search-based technique based on the principles of Genetics and Natural Selection used in computing to find an exact or approximate solution for ...
Khuong Le, Tianyu Wei, Justin Tagalogon
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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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
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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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