PopulationBased Approaches to the ResourceConstrained and DiscreteContinuous Scheduling (Studies in Systems, Decision and Con,Used

PopulationBased Approaches to the ResourceConstrained and DiscreteContinuous Scheduling (Studies in Systems, Decision and Con,Used

In Stock
SKU: DADAX3319628925
Brand: Springer
Regular price$115.38
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discretecontinuous scheduling. The first part of the book discusses problems belonging to the first class, while the second part deals with problems belonging to the second class. Both parts together offer valuable insights into the possibility of implementing modern techniques and tools with a view to obtaining highquality solutions to practical and, at the same time, computationally difficult problems. It offers a valuable source of information for practitioners dealing with the realworld scheduling problems in industry, management and administration.The authors have been working on the respective problems for the last decade, gaining scientific recognition through publications and active participation in the international scientific conferences, and their results are obtained using populationbased methods. Dr E. RatajczkRopel explores multiple agent and ATeam concepts, while Dr A. Skakovski focuses on evolutionary algorithms with a particular focus on the population learning paradigm.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed