Results 21 to 30 of about 543,996 (206)
Beyond predefined ligand libraries: a genetic algorithm approach for de novo discovery of catalysts for the Suzuki coupling reactions [PDF]
PeerJ Physical ChemistryThis study introduces a novel approach for the de novo design of transition metal catalysts, leveraging the power of genetic algorithms and density functional theory calculations.
Julius Seumer, Jan H. Jensen
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Research on two-dimensional planar array based on chaotic genetic algorithm
Dianzi Jishu Yingyong, 2023 Aiming at the problem of high sidelobe in the pattern of general uniform planar array, the traditional genetic algorithm is used to arrange the uniform array in two-dimensional sparse distribution,which effectively reduces the sidelobe level, but the ...
Jiang Wenqi, Zhang Huamei, Wang Xiangfu
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Proposed Genetic Classification Algorithm
Revista Cubana de Ingeniería, 2013 The extraction of knowledge is the basis for decision making in various processes, data mining beingan area of fundamental knowledge to attain that end.
José Leandro González González +1 more
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CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW [PDF]
ICTACT Journal on Soft Computing, 2015 The performance of Genetic Algorithm (GA) depends on various operators. Crossover operator is one of them. Crossover operators are mainly classified as application dependent crossover operators and application independent crossover operators.
A.J. Umbarkar, P.D. Sheth
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Stream Cipher Using Genetic Algorithm [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 The research tackles newly suggested method in generating the random key used in stream cipher, by generating the key randomly using rand function and then applying randomness conditions if the produced key satisfy the conditions then its accepted key ...
Melad saeed
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A Hybrid Genetic-Hierarchical Algorithm for the Quadratic Assignment Problem
Entropy, 2021 In this paper, we present a hybrid genetic-hierarchical algorithm for the solution of the quadratic assignment problem. The main distinguishing aspect of the proposed algorithm is that this is an innovative hybrid genetic algorithm with the original ...
Alfonsas Misevičius, Dovilė Verenė
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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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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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