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Research on nonlocal optical metasurfaces design based on the genetic algorithm method
Nanophotonics and Micro/Nano Optics VII, 2021Optical metasurfaces are one of the most studied objects in the field of electromagnetism. However, designing optical metasurfaces to meet the desired transfer function is still very challenging.
Lingling Zhang +3 more
semanticscholar +1 more source
Inherited Platelet Function Disorders: Algorithms for Phenotypic and Genetic Investigation
Seminars in Thrombosis and Hemostasis, 2016Inherited platelet function disorders (IPFDs) manifest with mucocutaneous bleeding and are frequently difficult to diagnose due to their heterogeneity, the complexity of the platelet activation pathways and a lack of standardization of the platelet function laboratory assays and of their use for this purpose.
GRESELE, Paolo +2 more
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Blink reflex role in algorithmic genetic testing of inherited polyneuropathies
Muscle & Nerve, 2016In severely affected inherited polyneuropathy patients, primary demyelination can be difficult to determine by routine extremity limb nerve conduction studies (NCS). Blink reflexes may help classify severe polyneuropathies as either axonal or demyelinating.
Jayawant N. Mandrekar +5 more
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IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004
In this paper, we formulate a special type of multiobjective optimization problems, named biobjective 0/1 combinatorial optimization problem BOCOP, and propose an inheritable genetic algorithm IGA with orthogonal array crossover (OAX) to efficiently find a complete set of nondominated solutions to BOCOP.
Jian-Hung Chen +2 more
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In this paper, we formulate a special type of multiobjective optimization problems, named biobjective 0/1 combinatorial optimization problem BOCOP, and propose an inheritable genetic algorithm IGA with orthogonal array crossover (OAX) to efficiently find a complete set of nondominated solutions to BOCOP.
Jian-Hung Chen +2 more
openaire +3 more sources
Research on Logistics Distribution Route Based on Multi-objective Sorting Genetic Algorithm
Int. J. Artif. Intell. Tools, 2020With the continuous development of society, the social division of labor is further improved, and social production tends to be highly specialized and industrialized.
Jun Zhao +4 more
semanticscholar +1 more source
International Conference on Wireless Communications and Mobile Computing
In order to ensure reliable transmission of important traffic in industrial networks, time-sensitive network (TSN) technology and fifth-generation mobile communication technology (5G) are introduced into the industrial network.
Jiawen Guo +5 more
semanticscholar +1 more source
In order to ensure reliable transmission of important traffic in industrial networks, time-sensitive network (TSN) technology and fifth-generation mobile communication technology (5G) are introduced into the industrial network.
Jiawen Guo +5 more
semanticscholar +1 more source
Royal Lineage Genetic Algorithm for a Better Solution to Traveling Salesman Problem
2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH)Genetic Algorithms (GAs) are famous for solving real-world problems despite a tendency to converge prematurely. This paper introduces the Royal Lineage Genetic Algorithm (RoLiGA), a GA enhancement inspired by chromosomal inheritance in royal lineages ...
Himma Firdaus, Tri Widianti
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Endocrine, Metabolic & Immune Disorders - Drug Targets, 2020
BACKGROUND Fabry Disease (FD, OMIM#301500) is a progressive, life-threatening, multisystemic, rare lysosomal storage disease. Today, approximately 1000 mutations are recorded in the Human Gene Mutation Database (www.hgmd.org) for GLA.
O. Sezer, S. Ceylaner
semanticscholar +1 more source
BACKGROUND Fabry Disease (FD, OMIM#301500) is a progressive, life-threatening, multisystemic, rare lysosomal storage disease. Today, approximately 1000 mutations are recorded in the Human Gene Mutation Database (www.hgmd.org) for GLA.
O. Sezer, S. Ceylaner
semanticscholar +1 more source
Genetic algorithm-based optimization for enhancing crop yield and resource efficiency in agriculture
Journal of Information and Optimization SciencesMaximization of crop yield with minimization of resource inputs is one of major problem faced by different agricultural practices. Global food security depends on achieving sustainable crop yield and resource efficiency in agriculture. Promising approach
S. Sahi
semanticscholar +1 more source
We propose a quantum-theoretical model of genetic inheritance, integrating quantum fluctuations, entanglement, and an adaptive Transmission Control Protocol (TCP)-based evolutionary function. Our framework defines a genetic state density matrix that evolves via quantum operators, introducing entanglement-driven genotype correlations across generations.
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