## Proceedings, Volumes 1-2IEEE, 1999 - Artificial intelligence |

### From inside the book

Results 1-3 of 81

Page 307

Theorem 2 : Let ( N , M . ) be a live marked graph , then the

marking equation are proportional X = N + KU ... a spanning tree of N . Then X is

a feasible

subnet ...

Theorem 2 : Let ( N , M . ) be a live marked graph , then the

**solutions**of themarking equation are proportional X = N + KU ... a spanning tree of N . Then X is

a feasible

**solution**of the marking equation if , and only if , X is a**solution**for thesubnet ...

Page 688

Additional constraints are introduced to make sure that the feasible integer

integer

following ...

Additional constraints are introduced to make sure that the feasible integer

**solution**derived from the**solution**of Qk is better than or as good as the feasibleinteger

**solution**derived from the**solution**of Qk - 1 . These constraints are thefollowing ...

Page 780

In this case , some operators , like crossover , would tend to generate a large

number of meaningless

for the case at hand , since it just alters the structure of a

content .

In this case , some operators , like crossover , would tend to generate a large

number of meaningless

**solutions**which ... the inversion operator is most suitablefor the case at hand , since it just alters the structure of a

**solution**but not itscontent .

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### Contents

Java RealTime Distributed Processing Over ATM Networks with ChorusOS | 3 |

Optimizing Costs and Processing Times Under Variable External Processing | 4 |

Resources 1047 | 8 |

Copyright | |

59 other sections not shown

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### Common terms and phrases

action activity adaptive agent algorithm allows analysis application approach architecture Automation behavior block communication complex components configuration connection considered consists corresponding cost decision defined depends described detected determine developed devices distributed dynamic Engineering environment error example execution Figure final flow function given implementation important improve industrial initial input integrated interface International Java learning machine manufacturing means measurement method module monitoring necessary object obstacle obtained operations optimal output parameters performance planning plant position possible presented problem proposed reference represented robot rules scheduling selected sensor sequence server shown shows signal simulation solution specific step structure Table task techniques tool transition unit variables visual