Engineering Applications of Computational Methods - Effective Methods for Integrated Process Planning and Scheduling
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(FIVE YEARS 21)

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Published By Springer Berlin Heidelberg

9783662553039, 9783662553053

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

An Efficient Modified Particle Swarm Optimization Algorithm for Process Planning

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

10.1007/978-3-662-55305-3_5 ◽

2020 ◽

pp. 81-106

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Particle Swarm Optimization ◽

Process Planning ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Swarm Optimization ◽

Modified Particle Swarm Optimization

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Improved Genetic Programming for Process Planning

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

10.1007/978-3-662-55305-3_4 ◽

2020 ◽

pp. 61-79

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Genetic Programming ◽

Process Planning

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GEP-Based Reactive Scheduling Policies for Dynamic FJSP with Job Release Dates

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

10.1007/978-3-662-55305-3_19 ◽

2020 ◽

pp. 405-428

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Release Dates ◽

Reactive Scheduling ◽

Scheduling Policies

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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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IPPS Simulation Prototype System

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

10.1007/978-3-662-55305-3_21 ◽

2020 ◽

pp. 455-462

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Prototype System

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A Hybrid Genetic Algorithm with Variable Neighborhood Search for Dynamic IPPS

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

10.1007/978-3-662-55305-3_20 ◽

2020 ◽

pp. 429-453

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Genetic Algorithm ◽

Variable Neighborhood Search ◽

Hybrid Genetic Algorithm ◽

Neighborhood Search

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Review for Flexible Job Shop Scheduling

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

10.1007/978-3-662-55305-3_2 ◽

2020 ◽

pp. 17-45

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Job Shop ◽

Job Shop Scheduling ◽

Flexible Job Shop ◽

Flexible Job Shop Scheduling ◽

Shop Scheduling

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An Effective Genetic Algorithm for Multi-objective IPPS with Various Flexibilities in Process Planning

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

10.1007/978-3-662-55305-3_15 ◽

2020 ◽

pp. 301-322

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Genetic Algorithm ◽

Process Planning ◽

Multi Objective

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A Modified Genetic Algorithm Based Approach for IPPS

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

10.1007/978-3-662-55305-3_11 ◽

2020 ◽

pp. 209-233

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Genetic Algorithm ◽

Modified Genetic Algorithm

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An Agent-Based Approach for IPPS

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

10.1007/978-3-662-55305-3_10 ◽

2020 ◽

pp. 191-208

Author(s):

Xinyu Li ◽

Liang Gao

Keyword(s):

Agent Based

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Engineering Applications of Computational Methods - Effective Methods for Integrated Process Planning and SchedulingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

An Efficient Modified Particle Swarm Optimization Algorithm for Process Planning

Improved Genetic Programming for Process Planning

GEP-Based Reactive Scheduling Policies for Dynamic FJSP with Job Release Dates

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

IPPS Simulation Prototype System

A Hybrid Genetic Algorithm with Variable Neighborhood Search for Dynamic IPPS

Review for Flexible Job Shop Scheduling

An Effective Genetic Algorithm for Multi-objective IPPS with Various Flexibilities in Process Planning

A Modified Genetic Algorithm Based Approach for IPPS

An Agent-Based Approach for IPPS

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