ProceedingsIEEE Computer Society Press, 2003 - Artificial intelligence |
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Page 135
The IPI method is a GA and the ISI is a parallel “ Kangaroo " algorithm . ...
Diversification Genetic Algorithm Diversified Population The stochastic search
optimization methods are very effective tools for the combinatorial problems like
SMSP .
The IPI method is a GA and the ISI is a parallel “ Kangaroo " algorithm . ...
Diversification Genetic Algorithm Diversified Population The stochastic search
optimization methods are very effective tools for the combinatorial problems like
SMSP .
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 264
The learning control method consists of two processes : Global Learning ( GL )
and Local Learning ( LL ) . GL estimates the dynamics of a robot control system
and obtains a learning gain matrix used in LL . LL decreases the tracking errors
by ...
The learning control method consists of two processes : Global Learning ( GL )
and Local Learning ( LL ) . GL estimates the dynamics of a robot control system
and obtains a learning gain matrix used in LL . LL decreases the tracking errors
by ...
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Contents
Microassembly Microfactory | 1 |
Microassembly and Microfactory | 2 |
Scheduling | 16 |
Copyright | |
7 other sections not shown
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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