A hybrid genetic algorithm for multi-objective product plan selection problem with ASP and ALB

Expert Systems with Applications ◽

10.1016/j.eswa.2011.11.041 ◽

2012 ◽

Vol 39 (5) ◽

pp. 5440-5450 ◽

Author(s):

H.S. Wang ◽

Z.H. Che ◽

C.J. Chiang

Keyword(s):

Genetic Algorithm ◽

Hybrid Genetic Algorithm ◽

Selection Problem ◽

Multi Objective ◽

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Multi-objective hybrid genetic algorithm for energy adaptive production scheduling in job shops

Procedia CIRP ◽

10.1016/j.procir.2021.01.106 ◽

2021 ◽

Vol 98 ◽

pp. 294-299

Author(s):

Benedikt Grosch ◽

Thomas Kohne ◽

Matthias Weigold

Keyword(s):

Genetic Algorithm ◽

Production Scheduling ◽

Hybrid Genetic Algorithm ◽

Job Shops ◽

Multi Objective

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Hybrid genetic algorithm for dynamic multi-objective route planning with predicted traffic in a real-world road network

Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08 ◽

10.1145/1389095.1389226 ◽

2008 ◽

Author(s):

Hitoshi Kanoh ◽

Kenta Hara

Keyword(s):

Genetic Algorithm ◽

Road Network ◽

Hybrid Genetic Algorithm ◽

Route Planning ◽

Multi Objective

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MULTI-OBJECTIVE SELECTIVE ASSEMBLY OF INTERNAL-COMBUSTION ENGINE LINKAGE OF CRANK-ROD BASED ON IMPROVED HYBRID GENETIC ALGORITHM

Journal of Mechanical Engineering ◽

10.3901/jme.2006.01.155 ◽

2006 ◽

Vol 42 (01) ◽

pp. 155 ◽

Author(s):

Mingzhou LIU

Keyword(s):

Genetic Algorithm ◽

Internal Combustion Engine ◽

Combustion Engine ◽

Hybrid Genetic Algorithm ◽

Internal Combustion ◽

Selective Assembly ◽

Multi Objective

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A Hybrid Genetic Algorithm and Tabu Search for Multi-objective Dynamic JSP

Engineering Applications of Computational Methods - Effective Methods for Integrated Process Planning and Scheduling ◽

10.1007/978-3-662-55305-3_18 ◽

2020 ◽

pp. 377-403

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Genetic Algorithm ◽

Tabu Search ◽

Hybrid Genetic Algorithm ◽

Multi Objective

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A Hybrid Genetic Algorithm to Solve Supplier Selection Problem under Stochastic Demand Condition and Quantity Discount Policy

International Conference on Computer Technology and Development, 3rd (ICCTD 2011) ◽

10.1115/1.859919.paper67 ◽

2011 ◽

pp. 389-394

Keyword(s):

Genetic Algorithm ◽

Supplier Selection ◽

Hybrid Genetic Algorithm ◽

Stochastic Demand ◽

Selection Problem ◽

Quantity Discount ◽

Demand Condition ◽

Supplier Selection Problem

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Hybrid Genetic Algorithm for multi-objective Transmission Expansion Planning

2016 IEEE International Energy Conference (ENERGYCON) ◽

10.1109/energycon.2016.7514131 ◽

2016 ◽

Author(s):

Phillipe Vilaca Gomes ◽

Joao Tome Saraiva

Keyword(s):

Genetic Algorithm ◽

Hybrid Genetic Algorithm ◽

Multi Objective ◽

Expansion Planning ◽

Transmission Expansion Planning ◽

Transmission Expansion

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A Study on Multi-objective Vehicle Rounting Problem considering Customer Satisfaction with Due-time : The Creation of Pareto Optimal Solutions by Hybrid Genetic Algorithm

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.64.1108 ◽

1998 ◽

Vol 64 (619) ◽

pp. 1108-1115 ◽

Author(s):

Weerapat SESSOMBOON ◽

Kei WATANABE ◽

Takashi IROHARA ◽

Kazuho YOSHIMOTO

Keyword(s):

Genetic Algorithm ◽

Customer Satisfaction ◽

Hybrid Genetic Algorithm ◽

Pareto Optimal ◽

Pareto Optimal Solutions ◽

Optimal Solutions ◽

Multi Objective ◽

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Hybrid Genetic Algorithm for Multi-objective Vehicle Routing Problem Based on Human-Computer Interaction

2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering ◽

10.1109/iciii.2010.101 ◽

2010 ◽

Author(s):

Yongji Jia ◽

Zhengyun Ren

Keyword(s):

Genetic Algorithm ◽

Human Computer Interaction ◽

Vehicle Routing ◽

Vehicle Routing Problem ◽

Hybrid Genetic Algorithm ◽

Routing Problem ◽

Multi Objective ◽

Computer Interaction

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Multi-objective vehicle scheduling problem based on customer satisfaction and hybrid genetic algorithm

2008 IEEE International Conference on Automation and Logistics ◽

10.1109/ical.2008.4636476 ◽

2008 ◽

Author(s):

YongJi Jia ◽

ChangJun Wang ◽

Bing Wang

Keyword(s):

Genetic Algorithm ◽

Customer Satisfaction ◽

Hybrid Genetic Algorithm ◽

Vehicle Scheduling ◽

Scheduling Problem ◽

Multi Objective

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Energy-efficient steelmaking-continuous casting scheduling problem with temperature constraints and its solution using a multi-objective hybrid genetic algorithm with local search

Applied Soft Computing ◽

10.1016/j.asoc.2020.106554 ◽

2020 ◽

Vol 95 ◽

pp. 106554 ◽

Author(s):

Zhaojun Xu ◽

Zhong Zheng ◽

Xiaoqiang Gao

Keyword(s):

Genetic Algorithm ◽

Continuous Casting ◽

Local Search ◽

Energy Efficient ◽

Hybrid Genetic Algorithm ◽

Scheduling Problem ◽

Multi Objective

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