9783790807929 - Learning in Automated Manufacturing: A Local Search Approach di Pesch, Erwin (15 risultati)

Broschiert. Condizione: Gut. 257 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 420.

Taschenbuch. Condizione: Gut. 258 Seiten ex Library Book aus einer wissenschaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 469.

Taschenbuch. Condizione: Gut. 258 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 469.

Condizione: New. In.

Condizione: New. pp. 272.

Condizione: New. pp. 272 Illus.

Condizione: New. Aims to acquaint the reader especially with the cases of local-search-based learning, as well as to introduce methods of constraint-based reasoning, both with respect to their use in automated manufacturing. Some design and planning issues in flexible manufacturing systems are also considered. Series: Production & Logistics Series. Num Pages: 257 pages, 3 black & white illustrations, 30 black & white tables, biography. BIC Classification: KJMV5; TGPC; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 14. Weight in Grams: 421. . 1994. Softcover reprint of the original 1st ed. 1994. Paperback. . . . .

Condizione: New. pp. 272.

Paperback. Condizione: Brand New. 272 pages. 9.50x6.25x0.75 inches. In Stock.

Condizione: New. Aims to acquaint the reader especially with the cases of local-search-based learning, as well as to introduce methods of constraint-based reasoning, both with respect to their use in automated manufacturing. Some design and planning issues in flexible manufacturing systems are also considered. Series: Production & Logistics Series. Num Pages: 257 pages, 3 black & white illustrations, 30 black & white tables, biography. BIC Classification: KJMV5; TGPC; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 14. Weight in Grams: 421. . 1994. Softcover reprint of the original 1st ed. 1994. Paperback. . . . . Books ship from the US and Ireland.

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | The central purpose of this book is to acquaint the reader especially with the cases of local search based learning as well as to introduce methods of constraint based reasoning, both with respect to their use in automated manufacturing. We restrict our attention to job shop scheduling as well as to one-machine scheduling with sequence dependent setup times. Additionally some design and planning issues in flexible manufacturing systems are considered. General purpose search methods which in particular include methods from local search such as simulated annealing, tabu search, and genetic algorithms, are the basic ingredients of the proposed intelligent knowledge-based scheduling systems, enriched by a number of constraint-based local decision rules in order to introduce problem specific knowledge.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The central purpose of this book is to acquaint the reader especially with the cases of local search based learning as well as to introduce methods of constraint based reasoning, both with respect to their use in automated manufacturing. We restrict our attention to job shop scheduling as well as to one-machine scheduling with sequence dependent setup times. Additionally some design and planning issues in flexible manufacturing systems are considered. General purpose search methods which in particular include methods from local search such as simulated annealing, tabu search, and genetic algorithms, are the basic ingredients of the proposed intelligent knowledge-based scheduling systems, enriched by a number of constraint-based local decision rules in order to introduce problem specific knowledge. 257 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The central purpose of this book is to acquaint the reader especially with the cases of local search based learning as well as to introduce methods of constraint based reasoning, both with respect to their use in automated manufacturing. We restrict our att.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The central purpose of this book is to acquaint the reader especially with the cases of local search based learning as well as to introduce methods of constraint based reasoning, both with respect to their use in automated manufacturing. We restrict our attention to job shop scheduling as well as to one-machine scheduling with sequence dependent setup times. Additionally some design and planning issues in flexible manufacturing systems are considered. General purpose search methods which in particular include methods from local search such as simulated annealing, tabu search, and genetic algorithms, are the basic ingredients of the proposed intelligent knowledge-based scheduling systems, enriched by a number of constraint-based local decision rules in order to introduce problem specific knowledge.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The central purpose of this book is to acquaint the reader especially with the cases of local search based learning as well as to introduce methods of constraint based reasoning, both with respect to their use in automated manufacturing. We restrict our attention to job shop scheduling as well as to one-machine scheduling with sequence dependent setup times. Additionally some design and planning issues in flexible manufacturing systems are considered. General purpose search methods which in particular include methods from local search such as simulated annealing, tabu search, and genetic algorithms, are the basic ingredients of the proposed intelligent knowledge-based scheduling systems, enriched by a number of constraint-based local decision rules in order to introduce problem specific knowledge.