Artificial intelligence and soft computing for planning and scheduling: how to efficiently solve more realistic problems...

2001 ◽  
Vol 14 (3) ◽  
pp. 265-267 ◽  
Author(s):  
B Grabot
1990 ◽  
Vol 5 (3) ◽  
pp. 147-166 ◽  
Author(s):  
Moonis Ali

AbstractAn overview of research in the areas of aerospace applications of artificial intelligence, expert Systems, neural networks and robotics is presented. Challenges associated with aerospace projects require increasingly complex aerospace Systems which in turn demand automation and fault tolerance. We have addressed these issues and provided a survey of the research on intelligent Systems that has been carried out in an attempt to meet these challenges. The application areas we have overviewed include fault monitoring and diagnosis, generation and management of power in space, efficient and effective command and control, operations and maintenance of space stations, planning and scheduling, automation, and cockpit management.


Author(s):  
VICENÇ TORRA ◽  
JOSEP DOMINGO-FERRER

As e-commerce and Internet-based data handling become pervasive, companies and statistical agencies have the need to exploit the data they accumulate without violating citizens' privacy. Inference control is a discipline whose goal is to prevent published/exchanged data from being linked with the individual respondents they originated from. This special issue illustrates that inference control largely draws on soft computing and artificial intelligence techniques.


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