wyszukanych pozycji: 2
![]() |
Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control: Method, Software and Industrial Application
ISBN: 9781447145752 / Angielski / Twarda / 2012 / 134 str. Termin realizacji zamówienia: ok. 16-18 dni roboczych. The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Multi-agent Based Beam Search for Real-time Production Scheduling and Control introduces this method, together with its software implementation and industrial applications. This book connects academic research with industrial practice, and...
The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capabi...
|
cena:
404,42 |
![]() |
Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control: Method, Software and Industrial Application
ISBN: 9781447161653 / Angielski / Miękka / 2014 / 134 str. Termin realizacji zamówienia: ok. 16-18 dni roboczych. The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Multi-agent Based Beam Search for Real-time Production Scheduling and Control introduces this method, together with its software implementation and industrial applications. This book connects academic research with industrial practice, and...
The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capabi...
|
cena:
404,42 |