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Performance Analysis of proposed Mutation Operator of Genetic Algorithm under Scheduling Problem
2020 International Conference on Intelligent Engineering and Management (ICIEM)
◽
10.1109/iciem48762.2020.9160215
◽
2020
◽
Author(s):
Rajiv Kumar
◽
Minakshi Memoria
◽
Aseem Chandel
Keyword(s):
Genetic Algorithm
◽
Performance Analysis
◽
Scheduling Problem
◽
Mutation Operator
Download Full-text
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Genetic Algorithm and Based Particle Swarm Optimization Comparison for Solving a Flow-Shop Multiobjective Scheduling Problem in Pharmaceutical Industries
International Journal on Engineering Applications (IREA)
◽
10.15866/irea.v6i6.17000
◽
2018
◽
Vol 6
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◽
pp. 221
Author(s):
H. Boukef
◽
M. Benrejeb
◽
P. Borne
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◽
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◽
Flow Shop
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Particle Swarm
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Swarm Optimization
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Pharmaceutical Industries
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Research on Scheduling Problem in Manufacturing Enterprise Based on Genetic Algorithm
Revista de la Facultad de Ingeniería
◽
10.21311/002.31.7.16
◽
2016
◽
Keyword(s):
Genetic Algorithm
◽
Scheduling Problem
◽
Manufacturing Enterprise
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An Improved Quantum Rotation Gate in Genetic Algorithm for Job Shop Scheduling Problem
2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)
◽
10.1109/iciscae.2018.8666865
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◽
Author(s):
Ling Li
◽
Guangzhen Cui
◽
Xuliang Lv
◽
Xiaodong Sun
◽
Huaixiao Wang
Keyword(s):
Genetic Algorithm
◽
Job Shop
◽
Job Shop Scheduling
◽
Scheduling Problem
◽
Job Shop Scheduling Problem
◽
Shop Scheduling
◽
Quantum Rotation Gate
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A genetic algorithm approach for a constrained employee scheduling problem as applied to employees at mall type shops
Proceedings of the 2009 International Conference on Hybrid Information Technology - ICHIT '09
◽
10.1145/1644993.1645085
◽
2009
◽
Cited By ~ 4
Author(s):
Adrian Brezulianu
◽
Monica Fira
◽
Lucian Fira
Keyword(s):
Genetic Algorithm
◽
Scheduling Problem
◽
Employee Scheduling
◽
Genetic Algorithm Approach
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A grouping genetic algorithm for the unrelated parallel-machine scheduling problem
Proceedings of the Genetic and Evolutionary Computation Conference Companion
◽
10.1145/3449726.3459531
◽
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◽
Author(s):
Octavio Ramos-Figueroa
◽
Marcela Quiroz-Castellanos
Keyword(s):
Genetic Algorithm
◽
Machine Scheduling
◽
Parallel Machine Scheduling
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Parallel Machine
◽
Scheduling Problem
◽
Unrelated Parallel Machine
◽
Grouping Genetic Algorithm
◽
Unrelated Parallel Machine Scheduling
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A graphical processing unit‐based parallel hybrid genetic algorithm for resource‐constrained multi‐project scheduling problem
Concurrency and Computation Practice and Experience
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10.1002/cpe.6266
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Author(s):
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◽
Rifat Sonmez
◽
Selcuk Kursat Isleyen
Keyword(s):
Genetic Algorithm
◽
Project Scheduling
◽
Hybrid Genetic Algorithm
◽
Graphical Processing Unit
◽
Processing Unit
◽
Scheduling Problem
◽
Resource Constrained
◽
Parallel Hybrid
◽
Project Scheduling Problem
◽
Graphical Processing
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Solving N-Queen Problem by Genetic Algorithm using Novel Mutation Operator
IOP Conference Series Materials Science and Engineering
◽
10.1088/1757-899x/1116/1/012195
◽
2021
◽
Vol 1116
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◽
pp. 012195
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Sachin Sharma
◽
Vinod Jain
Keyword(s):
Genetic Algorithm
◽
Novel Mutation
◽
Mutation Operator
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Performance analysis of a single scheduling machine with cluster supply system, retardation, makespan and deterrent protection using genetic algorithm
Materials Today Proceedings
◽
10.1016/j.matpr.2021.01.530
◽
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◽
Author(s):
V. Poongothai
◽
M. Kannan
◽
P. Godhandaraman
Keyword(s):
Genetic Algorithm
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Performance Analysis
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Supply System
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Optimal Design and Performance Analysis of Thermoelectric Power Generation Device Based on Multi‐Objective Genetic Algorithm
Advanced Theory and Simulations
◽
10.1002/adts.202000271
◽
2021
◽
pp. 2000271
Author(s):
Jinmeng Wu
◽
Yan Chen
◽
Yinke Dou
◽
Chunyan Ma
◽
Qian Du
◽
...
Keyword(s):
Genetic Algorithm
◽
Power Generation
◽
Optimal Design
◽
Performance Analysis
◽
Thermoelectric Power
◽
Thermoelectric Power Generation
◽
Multi Objective
◽
Multi Objective Genetic Algorithm
◽
Power Generation Device
◽
And Performance
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Amended hybrid multi-verse optimizer with genetic algorithm for solving task scheduling problem in cloud computing
The Journal of Supercomputing
◽
10.1007/s11227-021-03915-0
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2021
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Author(s):
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Muhammad Alkhrabsheh
Keyword(s):
Genetic Algorithm
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Cloud Computing
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Task Scheduling
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Scheduling Problem
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