| Accessories By Manufacturer | |
|
|
Email Newsletter
Get info on Sales, Events, New Products, and More!
|
|
|
|
|
| Intelligent Scheduling Systems (Operations Research/Computer Science Interfaces Series) | 
 enlarge | Creators: Donald E. Brown, William T. Scherer
Publisher: Springer
Category: Book
List Price: $197.00
Buy New: $187.90
You Save: $9.10 (5%)
New (18) Used (9) from $49.83
Sales Rank: 6646638
Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 276
Shipping Weight (lbs): 1.1
Dimensions (in): 9.1 x 6.1 x 1
ISBN: 0792395158
Dewey Decimal Number: 658.53
EAN: 9780792395157
ASIN: 0792395158
Publication Date: December 31, 1994
Availability: Usually ships in 1-2 business days
|
| Editorial Reviews:
Product Description
Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research. Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems.
|
|
|
Site by: Troy Peterson | |
