Hybrid Pareto artificial bee colony algorithm for assembly line balancing with task time variations-Reference-Cited by-同舟云学术

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Hybrid Pareto artificial bee colony algorithm for assembly line balancing with task time variations

Published:2016-02-29 Issue:2-3 Volume:30 Page:255-270
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Saif Ullah,Guan Zailin,Zhang Li,Mirza Jahanzeb,Lei Yue

Funder

National Natural Science Foundation of China

Ministry of Science & Technology of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/0951192X.2016.1145802

Reference54 articles.

1. A multi-objective artificial bee colony algorithm

2. A COMPUTER METHOD OF SEQUENCING OPERATIONS FOR ASSEMBLY LINES

3. A parallel station heuristic for the mixed-model production line balancing problem

4. A hybrid meta-heuristic for multi-objective vehicle routing problems with time windows

5. Multi-rule Multi-objective Simulated Annealing Algorithm for Straight and U Type Assembly Line Balancing Problems

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1. Matheuristics for mixed-model assembly line balancing problem with fuzzy stochastic processing time;Applied Soft Computing;2024-07

2. Solving line balancing and AGV scheduling problems for intelligent decisions using a Genetic-Artificial bee colony algorithm;Computers & Industrial Engineering;2024-03

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4. A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing;Sensors;2023-02-02

5. An order scheduling with the integration of multi mixed-model production line balancing and model sequencing in make-to-order environment: Model development;INTERNATIONAL CONFERENCE ON INDUSTRIAL, ENTERPRISE, AND SYSTEM ENGINEERING: Collaboration of Science, Technology, and Innovation Toward Sustainable Development;2023

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