recent evolutionary algorithms and manufacturing scheduling with case studies-九游会平台
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  • 清华大学电机系
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报告题目: recent evolutionary algorithms and manufacturing scheduling with case studies

报 告 人: prof. mitsuo gen (玄光男教授)

报告时间: 2015年9月28日, 15:00-17:00

报告地点: 清华大学西主楼2区203会议室

联 系 人: 于歆杰 62780250

mitsuo gen

phd in engineering, kogakuin univ., japan 1975 and phd in informatics, kyoto univ., japan 2006.

faculty: ashikaga institute of technology 1975-2003 and waseda university 2003- 2009.

visiting faculty: university of california at berkeley 1999-2000, texas a&m university 2000, hanyang university 2010-2012 and national tsing hua university 2012-2014.

research field: evolutionary computation, manufact. scheduling & logistics and decision making.

society: editor-in-chief: ie & ms journal, president of ims: inter. assoc. of info. & mgmt. sci. assoc. editor: j. of intelligent manuf., area editor: computers & industrial engineering

abstract

this lecture will introduce genetic algorithms, hybridized ga (hga), multiobjective ga (moga) and the way to solve various combinatorial optimization problems in real world such as semiconductor final test scheduling, reentrant flowshop scheduling problem in hdd manufacturing system, and module assembly scheduling problem in tft-lcd manufacturing systems, etc.

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