ProceedingsIEEE Computer Society Press, 2003 - Artificial intelligence |
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Page 135
This one generates an initial population , considering as input data a unique
solution of SMSP . ... at the end of the diversification phase , the Diversified
Population contains good solutions placed in different regions of the search
space .
This one generates an initial population , considering as input data a unique
solution of SMSP . ... at the end of the diversification phase , the Diversified
Population contains good solutions placed in different regions of the search
space .
Page 136
In this way , the initial solution contains all the jobs sorted after their
correspondent due date . This is a good solution , but it doesn ' t take into account
the influence of the penalties ( a small delay may be penalized a lot ) . Then , the
initial ...
In this way , the initial solution contains all the jobs sorted after their
correspondent due date . This is a good solution , but it doesn ' t take into account
the influence of the penalties ( a small delay may be penalized a lot ) . Then , the
initial ...
Page 137
This time the improvement of the current solution is not obligatorily . This
procedure can use a different neighborhood definition N ' ( u ) for the random
jumping . A detailed description of the KA is given in ( 14 ) . The stop criterion is
either a ...
This time the improvement of the current solution is not obligatorily . This
procedure can use a different neighborhood definition N ' ( u ) for the random
jumping . A detailed description of the KA is given in ( 14 ) . The stop criterion is
either a ...
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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