ProceedingsIEEE Computer Society Press, 2003 - Artificial intelligence |
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Page 90
When soft constraints like clusters of components or early realisations for some
tasks are used , several precedence graphs are required and the proposed
method does not apply . 1 Introduction Most works dedicated to Assembly Line ...
When soft constraints like clusters of components or early realisations for some
tasks are used , several precedence graphs are required and the proposed
method does not apply . 1 Introduction Most works dedicated to Assembly Line ...
Page 149
1 Properties of the proposed method Job No . Mac O DO 13 21 A Mac 1 To 4 T2T
Nac 2 OTATIT2T 3 ) Nac 3 TOT 2 311 41 Nac 4 TOTALOT3T2 50 100 ( a )
schedule 1 without antigen ( Total time = 135 ) Job No . Mac O 3 2 OTA : 13
OTTOT ...
1 Properties of the proposed method Job No . Mac O DO 13 21 A Mac 1 To 4 T2T
Nac 2 OTATIT2T 3 ) Nac 3 TOT 2 311 41 Nac 4 TOTALOT3T2 50 100 ( a )
schedule 1 without antigen ( Total time = 135 ) Job No . Mac O 3 2 OTA : 13
OTTOT ...
Page 150
In the genetic algorithms , it is difficult to avoid obtaining the same solution and
then only three solutions are obtained From table 3 , I could confirm that the
process time for the proposed method ( first column ) is largest among the listed ...
In the genetic algorithms , it is difficult to avoid obtaining the same solution and
then only three solutions are obtained From table 3 , I could confirm that the
process time for the proposed method ( first column ) is largest among the listed ...
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Contents
Microassembly Microfactory | 1 |
Microassembly and Microfactory | 2 |
Scheduling | 16 |
Copyright | |
7 other sections not shown
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Common terms and phrases
actuator algorithm allows applied approach assembly planning assembly sequences assembly system assigned Automation blocks cell complete components computation configuration connected considered constraints corresponding cost cycle defined depends described determined developed device direction disassembly effect environment equation equipment evaluation example execution Figure final flexible force France function geometric given graph grasping gripper handling holons industrial initial integrated Introduction machining manipulation manufacturing material measured mechanical method micro motion move object obtained operation optimal orientation parameters path performance piezoelectric position possible precedence presented problem Proceedings programming proposed provides References relation representation represents respectively robot scheduling selected sensor shape shown shows simulation solution space step structure surface task Task Planning tion tolerance torque transition virtual volume workstation