ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 92
So it is difficult to find out the difference between the solution obtained by the
proposed method and the strict solution . In this paper , the algorithm will be
applied to the problems which have strict solutions and the optimality of the
trajectories ...
So it is difficult to find out the difference between the solution obtained by the
proposed method and the strict solution . In this paper , the algorithm will be
applied to the problems which have strict solutions and the optimality of the
trajectories ...
Page 242
... Buffer DITTTTTTTI AGV Arive 10 20 30 40 50 60 70 80 90 Table 4 : Simulation
of Due - time Problem Being Li Load station U : Unload station 1 ~ 4 : Machine
No Trans Time Job 1 Job 2 Job 3 Job 4 Figure 5 : Solution by proposed algorithm
...
... Buffer DITTTTTTTI AGV Arive 10 20 30 40 50 60 70 80 90 Table 4 : Simulation
of Due - time Problem Being Li Load station U : Unload station 1 ~ 4 : Machine
No Trans Time Job 1 Job 2 Job 3 Job 4 Figure 5 : Solution by proposed algorithm
...
Page 254
( 2 ) A systematic method was proposed to select suitable machining sequences
of the machining features and suitable sequences of the machining equipment
based on the genetic algorithm ( GA ) and the dynamic programming ( DP ) . 3 )
The ...
( 2 ) A systematic method was proposed to select suitable machining sequences
of the machining features and suitable sequences of the machining equipment
based on the genetic algorithm ( GA ) and the dynamic programming ( DP ) . 3 )
The ...
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Contents
Session MIB Assembly Planning Room | 31 |
Session MIC Production System1 Room C | 61 |
Session M2A Planning Control of Manipulators Room | 92 |
Copyright | |
11 other sections not shown
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Common terms and phrases
algorithm analysis applied approach assembly automatic Automation calculated called cell combination complex components computed condition connected considered constraints coordinate corresponding cost defined described determined developed direction disassembly dynamic edge effect Engineering environment equipment error evaluation example execution experiments Figure finger flexible force function geometric given graph grasp holons IEEE initial integrated International introduced Japan joint machine manipulation manufacturing material means measured mechanical method mobile robot module motion movement moving node object obstacles obtained operation optimal orientation parameters path performed planning position possible presented problem Proceedings proposed reference region relation represented Research respectively robot rotation rules scheduling selection sensor sequence shown shows simulation solutions space specific station step structure subassembly surface Table task tion tolerance tool trajectory transition