Results 11 to 20 of about 451,148 (267)
Proceedings of the Genetic and Evolutionary Computation Conference, 2017 For genetic algorithms using a bit-string representation of length~$n$, the general recommendation is to take $1/n$ as mutation rate. In this work, we discuss whether this is really justified for multimodal functions. Taking jump functions and the $(1+1)$ evolutionary algorithm as the simplest example, we observe that larger mutation rates give ...
Benjamin Doerr +3 more
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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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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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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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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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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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