LEADER 05101nam 22006135 450 001 9910337800503321 005 20240223123621.0 010 $a3-319-91086-8 024 7 $a10.1007/978-3-319-91086-4 035 $a(CKB)4100000006674823 035 $a(MiAaPQ)EBC5521308 035 $a(DE-He213)978-3-319-91086-4 035 $a(PPN)230539130 035 $a(EXLCZ)994100000006674823 100 $a20180920d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Metaheuristics /$fedited by Michel Gendreau, Jean-Yves Potvin 205 $a3rd ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (610 pages) 225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v272 311 1 $a9783319910857 311 1 $a3-319-91085-X 327 $aChapter 1. Simulated Annealing: From Basics to Applications -- Chapter 2. Tabu Search -- Chapter 3. Variable Neighborhood Search -- Chapter 4. Large Neighborhood Search -- Chapter 5. Iterated Local Search: Framework and Applications -- Chapter 6. Greedy Randomized Adaptive Search Procedures: Advances and Extensions -- Chapter 7. Intelligent Multi-Start Methods -- Chapter 8. Next Generation Genetic Algorithms: A User?s Guide and Tutorial -- Chapter 9. An Accelerated Introduction to Memetic Algorithms -- Chapter 10. Ant Colony Optimization: Overview and Recent Advances -- Chapter 11. Swarm Intelligence -- Chapter 12. Metaheuristic Hybrids -- Chapter 13. Parallel Metaheuristics and Cooperative Search -- Chapter 14. A Classification of Hyper-heuristic Approaches ? Revisited -- Chapter 15. Reactive Search Optimization: Learning while Optimizing -- Chapter 16. Stochastic Search in Metaheuristics -- Chapter 17. Automated Design of Metaheuristic Algorithms -- Chapter 18. Computational Comparison of Metaheuristics. 330 $aThe third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book?s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular. Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics. 410 0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v272 606 $aOperations research 606 $aManagement science 606 $aComputer science$xMathematics 606 $aOperations Research and Decision Theory 606 $aOperations Research, Management Science 606 $aMathematical Applications in Computer Science 606 $aOptimitzaciķ matemātica$2thub 606 $aInvestigaciķ operativa$2thub 608 $aLlibres electrōnics$2thub 615 0$aOperations research. 615 0$aManagement science. 615 0$aComputer science$xMathematics. 615 14$aOperations Research and Decision Theory. 615 24$aOperations Research, Management Science . 615 24$aMathematical Applications in Computer Science. 615 7$aOptimitzaciķ matemātica 615 7$aInvestigaciķ operativa. 676 $a658.4034 702 $aGendreau$b Michel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPotvin$b Jean-Yves$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337800503321 996 $aHandbook of metaheuristics$9765772 997 $aUNINA