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Autor:
Wen, Charlie Hsiao Kuang
Thesis (M.S.)--Mississippi State University. Department of Industrial and Systems Engineering.
Title from title screen. Includes bibliographical references.
Title from title screen. Includes bibliographical references.
Autor:
Wen, Charlie Hsiao Kuang
Publikováno v:
Theses and Dissertations.
This study provides heuristic approaches, including an ant colony optimization (ACO) inspired heuristic, to solve a crane scheduling problem that exists in most shipyards, where cranes are a primary means of processing and handling materials. Cranes
Externí odkaz:
https://scholarsjunction.msstate.edu/td/2487
https://scholarsjunction.msstate.edu/cgi/viewcontent.cgi?article=3486&context=td
https://scholarsjunction.msstate.edu/cgi/viewcontent.cgi?article=3486&context=td
Publikováno v:
In International Journal of Production Economics 2010 124(1):40-50