A complete immunoglobulin-based artificial immune system algorithm for two-stage assembly flowshop scheduling problem with part splitting and distinct due windows-Reference-Cited by-同舟云学术

A complete immunoglobulin-based artificial immune system algorithm for two-stage assembly flowshop scheduling problem with part splitting and distinct due windows

Published:2019-02-27 Issue:10 Volume:57 Page:3219-3237
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Chung Tsui-Ping¹,Chen Feng²

Affiliation:

1. School of Management, Jilin University, Changchun, People’s Republic of China

2. School of Mechanical Science and Engineering, Jilin University, Changchun, People’s Republic of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1577565

Reference45 articles.

1. Single-machine batch delivery scheduling with job release dates, due windows and earliness, tardiness, holding and delivery costs

2. A self-adaptive differential evolution heuristic for two-stage assembly scheduling problem to minimize maximum lateness with setup times

3. Heuristics for a two-stage assembly flowshop with bicriteria of maximum lateness and makespan

4. Multi-objective Variable Neighborhood Search Algorithms for a Single Machine Scheduling Problem with Distinct due Windows

5. A simulation optimization approach for flow-shop scheduling problem: a canned fruit industry

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