000			03429nam a22005295i 4500
001			978-3-540-72962-4
003			DE-He213
005			20140220083740.0
007			cr nn 008mamaa
008			110718s2011 gw | s |||| 0|eng d
020			_a9783540729624 _9978-3-540-72962-4
024	7		_a10.1007/978-3-540-72962-4 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aRothlauf, Franz. _eauthor.
245	1	0	_aDesign of Modern Heuristics _h[electronic resource] : _bPrinciples and Application / _cby Franz Rothlauf.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXI, 267 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aNatural Computing Series, _x1619-7127
505	0		_aChap. 1 -- Introduction -- Part I -- Fundamentals -- Chap. 2 -- Optimization Problems -- Chap. 3 -- Optimization Methods -- Part II -- Modern Heuristics -- Chap. 4 -- Design Elements -- Chap. 5 -- Search Strategies -- Chap. 6 -- Design Principles -- Part III Case Studies -- Chap. 7 -- High Locality Representations for Automated Programming -- Chap. 8.-Biased Modern Heuristics for the OCST Problem -- Chap. 9.-Summary -- References -- Nomenclature -- Glossary -- Index.
520			_aMost textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.
650		0	_aComputer science.
650		0	_aArtificial intelligence.
650		0	_aMathematical optimization.
650		0	_aEngineering.
650		0	_aManagement information systems.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aOptimization.
650	2	4	_aComputational Intelligence.
650	2	4	_aBusiness Information Systems.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540729617
830		0	_aNatural Computing Series, _x1619-7127
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-72962-4
912			_aZDB-2-SCS
999			_c106649 _d106649