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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
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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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Analysis of Inheritance of Criminal Behavior from the Parents Using Genetic Algorithm
Arindam Banerjee
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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
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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
RGV Optimization Problem Based on Genetic Algorithm
, 2019: To analyze the working characteristics and adjustment strategies of RGV, and to consider the impact of its starting and stopping, waiting, recombination on the movement and transport capacity at the same time.
Congxiao Li
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A GENETIC ALGORITHM ANALYSIS TOWARDS OPTIMIZATION SOLUTIONS
, 2014In today’s world, an optimal and intelligent problem solving approaches are required in every field, regardless of simple or complex problems. Researches and developers are trying to make machines and software's more efficient and intelligent.
M. Tabassum, Kuruvilla Mathew
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Diversity study of multi-objective genetic algorithm based on Shannon entropy
World Congress on Nature and Biologically Inspired Computing, 2014Multi-objective optimization inspired on genetic algorithms are population based search methods. The population elements, chromosomes, evolve using inheritance, mutation, selection and crossover mechanisms.
E. Pires, J. Machado, P. Oliveira
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, 2014
Abstract— Regression testing takes almost half of the cost of software maintenance, but it is very important process in software testing. Unfortunately, it may be costly to allow for the re-execution of all test cases during regression testing.
A. Bakar +4 more
semanticscholar +1 more source
Abstract— Regression testing takes almost half of the cost of software maintenance, but it is very important process in software testing. Unfortunately, it may be costly to allow for the re-execution of all test cases during regression testing.
A. Bakar +4 more
semanticscholar +1 more source
Journal of Combinatorial Mathematics and Combinatorial Computing
Traditional non-heritage music art is gradually declining, driven by cultural heritage education, this paper studies the future inheritance trend of non-heritage music art.
Mengsa Chang
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Traditional non-heritage music art is gradually declining, driven by cultural heritage education, this paper studies the future inheritance trend of non-heritage music art.
Mengsa Chang
semanticscholar +1 more source