DOE-based enhanced genetic algorithm for unrelated parallel machine scheduling to minimize earliness/tardiness costs
عنوان مقاله: DOE-based enhanced genetic algorithm for unrelated parallel machine scheduling to minimize earliness/tardiness costs
شناسه ملی مقاله: JR_JOIE-16-2_008
منتشر شده در در سال 1402
شناسه ملی مقاله: JR_JOIE-16-2_008
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:
Parsa Kianpour - Senior Data Scientist, Cummins, USA
Deepak Gupta - Department of Industrial, Systems, and Manufacturing Engineering, Wichita State University, USA
Krishna Krishnan - Department of Industrial, Systems, and Manufacturing Engineering, Wichita State University, USA
Bhaskaran Gopalakrishnan - Industrial and Management Systems Engineering, West Virginia University, USA
خلاصه مقاله:
کلمات کلیدی:
Parsa Kianpour - Senior Data Scientist, Cummins, USA
Deepak Gupta - Department of Industrial, Systems, and Manufacturing Engineering, Wichita State University, USA
Krishna Krishnan - Department of Industrial, Systems, and Manufacturing Engineering, Wichita State University, USA
Bhaskaran Gopalakrishnan - Industrial and Management Systems Engineering, West Virginia University, USA
Heuristic
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/2068916/