A novel multi-objective dynamic flexible job shop scheduling algorithm using reinforced learning based black widow spider algorithm

• Kashif Akram ,

  Roles Conceptualization, Software, Writing – original draft

  * E-mail: kakram.dme19smme@student.nust.edu.pk (KA); mkhan7@pmu.edu.sa (MK)

  Affiliation School of Mechanical & Manufacturing Engineering (SMME), Campus H-12, National University of Sciences & Technology (NUST), Islamabad, Pakistan

  https://orcid.org/0000-0002-8250-4725

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• Muhammad Usman Bhutta,

  Roles Supervision

  Affiliations School of Mechanical & Manufacturing Engineering (SMME), Campus H-12, National University of Sciences & Technology (NUST), Islamabad, Pakistan, Anglia Ruskin University (ARU), Bishop Hall Ln, Chelmsford CM1 1SQ, United Kingdom

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• Shahid Ikramullah Butt,

  Roles Validation

  Affiliation School of Mechanical & Manufacturing Engineering (SMME), Campus H-12, National University of Sciences & Technology (NUST), Islamabad, Pakistan

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• Muhammad Rizwan,

  Roles Formal analysis

  Affiliation School of Mechanical & Manufacturing Engineering (SMME), Campus H-12, National University of Sciences & Technology (NUST), Islamabad, Pakistan

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• Muhammad Salman Khan,

  Roles Writing – review & editing

  Affiliation School of Mechanical & Manufacturing Engineering (SMME), Campus H-12, National University of Sciences & Technology (NUST), Islamabad, Pakistan

  https://orcid.org/0000-0002-8003-5830

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• Mushtaq Khan ,

  Roles Writing – review & editing

  * E-mail: kakram.dme19smme@student.nust.edu.pk (KA); mkhan7@pmu.edu.sa (MK)

  Affiliation Mechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University, Al Khobar,  Saudi Arabia

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• Alamzeb Khan

  Roles Validation

  Affiliation School of Mechanical & Manufacturing Engineering (SMME), Campus H-12, National University of Sciences & Technology (NUST), Islamabad, Pakistan

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