Handbook of Metaheuristics (International Series in Operations Research & Management Science) Export

@book{citeulike:620024, abstract = {{<P><STRONG>The Handbook of Metaheuristics</STRONG> provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be successful in a wide variety of real-world problem settings. Moreover, it is these metaheuristic strategies that hold particular promise for success in the future. The various chapters serve as stand alone presentations giving both the necessary background underpinnings as well as practical guides for implementation. In most settings a problem solver has an option as to which metaheuristic approach should be adopted for the problem at hand. Alternative methodologies typically exist that could be employed to produce high quality solutions. Often it becomes a matter of choosing one of several approaches that could be adopted. The very nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences. The chapters in this handbook are designed to facilitate this as well. </P>}}, author = {Glover, Fred W. and Kochenberger, Gary A.}, citeulike-article-id = {620024}, citeulike-linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&amp;path=ASIN/1402072635}, citeulike-linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21&amp;path=ASIN/1402072635}, citeulike-linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21&amp;path=ASIN/1402072635}, citeulike-linkout-3 = {http://www.amazon.jp/exec/obidos/ASIN/1402072635}, citeulike-linkout-4 = {http://www.amazon.co.uk/exec/obidos/ASIN/1402072635/citeulike00-21}, citeulike-linkout-5 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/1402072635}, citeulike-linkout-6 = {http://www.worldcat.org/isbn/1402072635}, citeulike-linkout-7 = {http://books.google.com/books?vid=ISBN1402072635}, citeulike-linkout-8 = {http://www.amazon.com/gp/search?keywords=1402072635&index=books&linkCode=qs}, citeulike-linkout-9 = {http://www.librarything.com/isbn/1402072635}, day = {01}, howpublished = {Hardcover}, isbn = {1402072635}, keywords = {ant-colony-optimization, constraint-programming, genetic-algorithm, genetic-programming, grasp, memetic-algorithm, metaheuristic, neural-network, scatter-search, simulated-annealing, tabu-search, variable-neighborhood-search}, month = {January}, posted-at = {2007-09-05 15:38:01}, priority = {2}, publisher = {Springer}, title = {Handbook of Metaheuristics (International Series in Operations Research \& Management Science)}, url = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/1402072635}, year = {2003} }

TY - BOOK ID - citeulike:620024 L3 - citeulike-article-id:620024 N2 - {<P><STRONG>The Handbook of Metaheuristics</STRONG> provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be successful in a wide variety of real-world problem settings. Moreover, it is these metaheuristic strategies that hold particular promise for success in the future. The various chapters serve as stand alone presentations giving both the necessary background underpinnings as well as practical guides for implementation. In most settings a problem solver has an option as to which metaheuristic approach should be adopted for the problem at hand. Alternative methodologies typically exist that could be employed to produce high quality solutions. Often it becomes a matter of choosing one of several approaches that could be adopted. The very nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences. The chapters in this handbook are designed to facilitate this as well. </P>} SN - 1402072635 TI - Handbook of Metaheuristics (International Series in Operations Research & Management Science) PB - Springer KW - ant-colony-optimization KW - constraint-programming KW - genetic-algorithm KW - genetic-programming KW - grasp KW - memetic-algorithm KW - metaheuristic KW - neural-network KW - scatter-search KW - simulated-annealing KW - tabu-search KW - variable-neighborhood-search AU - Glover, Fred AU - Kochenberger, Gary PY - 2003/01/01/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&amp;path=ASIN/1402072635 ER -