Proceedings: 1996 IEEE Conference on Emerging Technologies and Factory Automation, ETFA '96, Kauai, Hawaii, November 18-21, 1996 |
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Page 290
Conditional Mimetism Strategy stimulates the propagation of a behavior from a
good agent to a bad agent , so such learning is expected to be effective .
However , even a slight difference causes mimetism , and so the same inter -
mimetism ...
Conditional Mimetism Strategy stimulates the propagation of a behavior from a
good agent to a bad agent , so such learning is expected to be effective .
However , even a slight difference causes mimetism , and so the same inter -
mimetism ...
Page 334
We investigate the effectiveness of genetic algorithm for a reasoning based
problem , the normal and deceptive digit - guess problem , which is suitable ...
Our case study reveals that genetic algorithms can be effective in reasoning
problems .
We investigate the effectiveness of genetic algorithm for a reasoning based
problem , the normal and deceptive digit - guess problem , which is suitable ...
Our case study reveals that genetic algorithms can be effective in reasoning
problems .
Page 340
with a low degree of epistasis so that the crossover operator is very effective . ...
The effectiveness of the digit - bydigit search program is due to the linear property
of the problem : the score increases by one if one more digit is hitted ( for the ...
with a low degree of epistasis so that the crossover operator is very effective . ...
The effectiveness of the digit - bydigit search program is due to the linear property
of the problem : the score increases by one if one more digit is hitted ( for the ...
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Contents
PLENARY SESSION I | 1 |
PLENARY SESSION II | 7 |
SESSION TU4AScheduling | 16 |
Copyright | |
42 other sections not shown
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Common terms and phrases
action activities agent algorithm allows analysis application approach assignment associated Automation behavior called communication complete components Computer connection consider constraints cost deadlines defined depends described determined developed distributed dynamic effective environment error estimation evaluation event example execution field Figure force frequency function given holons human IEEE implementation initial input intelligent learning machine manipulator manufacturing means measure messages method Mimetism motion nodes object obtained operation optimal output parameters performance period Petri phase planning plant position possible presented priority problem proposed real-time reference represented request resource robot rules scheduling scheme selection sensor sequence server shown shows signal simulation solution solve space specific stage station step structure Table task technique tion transition vector