An improved non-dominated sorting biogeography-based optimization algorithm for the (hybrid) multi-objective flexible job-shop scheduling problem-Reference-Cited by-同舟云学术

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An improved non-dominated sorting biogeography-based optimization algorithm for the (hybrid) multi-objective flexible job-shop scheduling problem

Published:2021-02 Issue: Volume:99 Page:106869
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

An Youjun,Chen Xiaohui,Li Yinghe,Han Yaoyao,Zhang Ji,Shi Haohao

Funder

National Key R&D Program of China

Fundamental Research Funds for the Central Universities

the Key Projects of National Natural Science Foundation of China

National Natural Science Foundation of China

Graduate Scientific Research and Innovation Foundation of Chongqing, China

Publisher

Elsevier BV

Subject

Software

Reference70 articles.

1. Integrated green scheduling optimization of flexible job shop and crane transportation considering comprehensive energy consumption;Liu;J. Clean. Prod.,2019

2. Chemical-reaction optimization for solving fuzzy job-shop scheduling problem with flexible maintenance activities;Li;Int. J. Prod. Econ.,2013

3. A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem;Gao;Comput. Ind. Eng.,2015

4. An effective genetic algorithm for the flexible job-shop scheduling problem;Zhang;Expert Syst. Appl.,2011

5. A new biogeography-based optimization (BBO) algorithm for the flexible job shop scheduling problem;Rahmati;Int. J. Adv. Manuf. Technol.,2012

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2. A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based preventive maintenance and dynamic repairman assignment;Swarm and Evolutionary Computation;2024-08

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4. Fast Pareto set approximation for multi-objective flexible job shop scheduling via parallel preference-conditioned graph reinforcement learning;Swarm and Evolutionary Computation;2024-07

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