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目前显示的是标签为“Genetic Algorithm”的博文

No-Wait Flowshops to Minimize Total Tardiness with Setup Times

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53285#.VLx3ecnQrzE Author(s)    Tariq Aldowaisan , Ali Allahverdi Affiliation(s) Department of Industrial and Management Systems Engineering, Kuwait University, Kuwait City, Kuwait . ABSTRACT The m -machine no-wait flowshop scheduling problem is addressed where setup times are treated as separate from processing times. The objective is to minimize total tardiness. Different dispatching rules have been investigated and three were found to be superior. Two heuristics, a simulated annealing (SA) and a genetic algorithm (GA), have been proposed by using the best performing dispatching rule as the initial solution for SA, and the three superior dispatching rules as part of the initial population for GA. Moreover, improved versions of SA and GA are proposed using an insertion algorithm. Extensive computational experiments reveal that the improved versions of ...

Research on Location-Inventory Model in Grain Emergency Network

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52339#.VJJI7cnQrzE Author(s)   Lin Wang , Wenzhuo Liang , Yunxian Hou Affiliation(s) College of Economics and Management, China Agriculture University, Beijing, China . ABSTRACT Once the disaster occurred, a huge amount of grain supply is needed from disaster area. Because of the short shelf life, grain is very strict with reserve environment and needed to rotate on a regular basis in the process of reserves. Considering the limitations of existing related research, this paper presented a facility location model for grain emergency network that incorporates inventory factors and rotation mechanism, and then designed genetic ...

Sensitivity Analysis of Key Parameters in Decision Making of Two-Stage Evolutionary Optimization Maintenance Strategies

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52263#.VI-svMnQrzE Author(s)    Elia A. Tantele , Renos A. Votsis , Toula Onoufriou Affiliation(s) Department of Civil Engineering and Geomatics, Cyprus University of Technology, Lemesos, Cyprus . ABSTRACT Preventative maintenance (PM) measures for bridges are proactive maintenance actions which aim to prevent or delay a deterioration process that may lead to failure. This type of maintenance can be justified on economic grounds since it can extend the life of the bridge and avoid the need for unplanned essential/corrective maintenance. Due to the high importance of the effective integration of PM measures in the mainte...

Sensitivity Analysis of Key Parameters in Decision Making of Two-Stage Evolutionary Optimization Maintenance Strategies

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52263#.VI5INcnQrzE Author(s) Elia A. Tantele , Renos A. Votsis , Toula Onoufriou Affiliation(s) Department of Civil Engineering and Geomatics, Cyprus University of Technology, Lemesos, Cyprus . ABSTRACT Preventative maintenance (PM) measures for bridges are proactive maintenance actions which aim to prevent or delay a deterioration process that may lead to failure. This type of maintenance can be justified on economic grounds since it can extend the life of the bridge and avoid the need for unplanned essential/corrective maintenance. Due to the high importance of the effective integration of PM measures in the maintenance strat...

Optimization of Bearing Locations for Maximizing First Mode Natural Frequency of Motorized Spindle-Bearing Systems Using a Genetic Algorithm

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=48163#.VEXvdlfHRK0 Author(s)    Chi-Wei Lin Affiliation(s) Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan . ABSTRACT This paper has developed a genetic algorithm (GA) optimization approach to search for the optimal locations to install bearings on the motorized spindle shaft to maximize its first-mode natural frequency (FMNF). First, a finite element method (FEM) dynamic model of the spindle-bearing system is formulated, and by solving the eigenvalue problem derived from the equations of motion, the natural frequencies of the spindle system can be acquired. Next, the mathem...