Learning Search Control Knowledge for the Deep Space Network Scheduling Problem

Download or Read eBook Learning Search Control Knowledge for the Deep Space Network Scheduling Problem PDF written by Jonathan Matthew Gratch and published by . This book was released on 1993 with total page 36 pages. Available in PDF, EPUB and Kindle.
Learning Search Control Knowledge for the Deep Space Network Scheduling Problem
Author :
Publisher :
Total Pages : 36
Release :
ISBN-10 : UIUC:30112121896929
ISBN-13 :
Rating : 4/5 (29 Downloads)

Book Synopsis Learning Search Control Knowledge for the Deep Space Network Scheduling Problem by : Jonathan Matthew Gratch

Book excerpt:


Learning Search Control Knowledge for the Deep Space Network Scheduling Problem Related Books

Learning Search Control Knowledge for the Deep Space Network Scheduling Problem
Language: en
Pages: 36
Authors: Jonathan Matthew Gratch
Categories: Combinatorial analysis
Type: BOOK - Published: 1993 - Publisher:

DOWNLOAD EBOOK

Machine Learning Proceedings 1993
Language: en
Pages: 361
Authors: Lawrence A. Birnbaum
Categories: Computers
Type: BOOK - Published: 2014-05-23 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Machine Learning Proceedings 1993
Search Methodologies
Language: en
Pages: 618
Authors: Edmund K. Burke
Categories: Business & Economics
Type: BOOK - Published: 2006-03-20 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It prov
Handbook of Metaheuristics
Language: en
Pages: 560
Authors: Fred W. Glover
Categories: Mathematics
Type: BOOK - Published: 2006-04-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be succes
Adaptive and Multilevel Metaheuristics
Language: en
Pages: 276
Authors: Carlos Cotta
Categories: Computers
Type: BOOK - Published: 2008-05-29 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This cutting edge volume presents recent advances in the area of adaptativeness in metaheuristic optimization. It includes up-to-date reviews of hyperheuristics