Water pump station scheduling optimization using an improved genetic algorithm approach

2019 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2019.8790264 ◽

2019 ◽

Author(s):

Luca de Oliveira Turci ◽

Huibin Sun ◽

Miaoshun Bai ◽

Jingcheng Wang ◽

Piao Hu

Keyword(s):

Genetic Algorithm ◽

Improved Genetic Algorithm ◽

Scheduling Optimization ◽

Pump Station ◽

Genetic Algorithm Approach

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A new improved genetic algorithm approach and a competitive heuristic method for large-scale multiple resource-constrained project-scheduling problems

International Journal of Industrial Engineering Computations ◽

10.5267/j.ijiec.2011.06.009 ◽

2011 ◽

Vol 2 (4) ◽

pp. 737-748 ◽

Author(s):

Mostafa Khanzadi ◽

Rambod Soufipour ◽

Mohammad Rostami

Keyword(s):

Genetic Algorithm ◽

Project Scheduling ◽

Large Scale ◽

Heuristic Method ◽

Scheduling Problems ◽

Improved Genetic Algorithm ◽

Resource Constrained ◽

Resource Constrained Project Scheduling ◽

Genetic Algorithm Approach ◽

Multiple Resource

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An improved genetic algorithm approach for on-line optimisation problems

Production Planning & Control ◽

10.1080/09537287.2010.543556 ◽

2011 ◽

Vol 22 (8) ◽

pp. 742-753 ◽

Author(s):

Benoît Saenz de Ugarte ◽

Robert Pellerin ◽

Abdelhakim Artiba

Keyword(s):

Genetic Algorithm ◽

Improved Genetic Algorithm ◽

On Line ◽

Genetic Algorithm Approach

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Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling

IEEE Access ◽

10.1109/access.2020.3040345 ◽

2020 ◽

Vol 8 ◽

pp. 213318-213329

Author(s):

Kaouther Ben Ali ◽

Achraf Jabeur Telmoudi ◽

Said Gattoufi

Keyword(s):

Genetic Algorithm ◽

Job Shop ◽

Job Shop Scheduling ◽

Improved Genetic Algorithm ◽

Shop Scheduling ◽

Genetic Algorithm Approach ◽

Dynamic Job Shop

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Solving State Transfer Matrix Using a Markov Model via an Improved Genetic Algorithm Approach

International Journal of Advancements in Computing Technology ◽

10.4156/ijact.vol5.issue9.100 ◽

2013 ◽

Vol 5 (9) ◽

pp. 842-849

Author(s):

Huixia Zhu ◽

Fulin Wang

Keyword(s):

Genetic Algorithm ◽

Markov Model ◽

Transfer Matrix ◽

Improved Genetic Algorithm ◽

State Transfer ◽

Genetic Algorithm Approach

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An Improved Genetic Algorithm Approach on Mechanism Kinematic Structure Enumeration with Intelligent Manufacturing

Journal of Intelligent & Robotic Systems ◽

10.1007/s10846-017-0564-z ◽

2017 ◽

Vol 89 (3-4) ◽

pp. 343-350 ◽

Author(s):

Hao Liu ◽

Shunyi Shi ◽

Ping Yang ◽

Jianming Yang

Keyword(s):

Genetic Algorithm ◽

Intelligent Manufacturing ◽

Kinematic Structure ◽

Improved Genetic Algorithm ◽

Genetic Algorithm Approach ◽

Mechanism Kinematic ◽

Structure Enumeration

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An improved genetic algorithm approach for security constrained optimal power flow with corrective action

International Journal of Power and Energy Conversion ◽

10.1504/ijpec.2013.057031 ◽

2013 ◽

Vol 4 (4) ◽

pp. 355

Author(s):

D. Devaraj ◽

R. Narmatha Banu

Keyword(s):

Genetic Algorithm ◽

Optimal Power Flow ◽

Corrective Action ◽

Improved Genetic Algorithm ◽

Optimal Power ◽

Genetic Algorithm Approach

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An Improved Genetic Algorithm for Production Planning and Scheduling Optimization Problem

Intelligent Manufacturing and Energy Sustainability - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-1616-0_15 ◽

2020 ◽

pp. 157-171

Author(s):

Aditya Kunapareddy ◽

Gopichand Allaka

Keyword(s):

Genetic Algorithm ◽

Production Planning ◽

Optimization Problem ◽

Improved Genetic Algorithm ◽

Scheduling Optimization ◽

Planning And Scheduling ◽

Production Planning And Scheduling

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Optimal generation expansion planning via improved genetic algorithm approach

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2004.04.012 ◽

2004 ◽

Vol 26 (8) ◽

pp. 655-659 ◽

Author(s):

T CHUNG ◽

Y LI ◽

Z WANG

Keyword(s):

Genetic Algorithm ◽

Generation Expansion Planning ◽

Improved Genetic Algorithm ◽

Expansion Planning ◽

Generation Expansion ◽

Genetic Algorithm Approach

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Simulation of Multivariate Scheduling Optimization for Open Production Line Based on Improved Genetic Algorithm

International Journal of Simulation Modelling ◽

10.2507/ijsimm17(2)co9 ◽

2018 ◽

Vol 17 (2) ◽

pp. 347-358 ◽

Author(s):

H. Y. Li ◽

C. Gui ◽

K. Xiao

Keyword(s):

Genetic Algorithm ◽

Production Line ◽

Improved Genetic Algorithm ◽

Scheduling Optimization ◽

Open Production

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Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.44-47.1496 ◽

2010 ◽

Vol 44-47 ◽

pp. 1496-1499 ◽

Author(s):

Rui Zhen Gao ◽

Zhi Qiang Xu ◽

Jing Jun Zhang

Keyword(s):

Genetic Algorithm ◽

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Suspension System ◽

System Model ◽

Improved Genetic Algorithm ◽

Matlab Simulink ◽

Passive Suspension ◽

Car Suspension ◽

Genetic Algorithm Approach

This paper completes a full car semi-active suspension system model, using improved genetic algorithm approach to optimize the fuzzy logic rules and the co-simulation were carried out in the environment of Matlab/Simulink. The results of being compared with the passive suspension demonstrate is that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.

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