LEADER 03738nam 22007335 450 001 996466562303316 005 20240223124732.0 010 $a3-030-68514-4 024 7 $a10.1007/978-3-030-68514-0 035 $a(CKB)4100000011807046 035 $a(MiAaPQ)EBC6527510 035 $a(Au-PeEL)EBL6527510 035 $a(OCoLC)1243349954 035 $a(DE-He213)978-3-030-68514-0 035 $a(PPN)254721427 035 $a(EXLCZ)994100000011807046 100 $a20210324d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlgorithm Portfolios$b[electronic resource] $eAdvances, Applications, and Challenges /$fby Dimitris Souravlias, Konstantinos E. Parsopoulos, Ilias S. Kotsireas, Panos M. Pardalos 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (xiv, 92 pages) $cillustrations 225 1 $aSpringerBriefs in Optimization,$x2191-575X 311 $a3-030-68513-6 320 $aIncludes bibliographical references. 327 $a1. Metaheuristic optimization algorithms -- 2. Algorithm portfolios -- 3. Selection of constituent algorithms -- 4. Allocation of computation resources -- 5. Sequential and parallel models -- 6. Recent applications -- 7. Epilogue -- References. 330 $aThis book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems. It is expected to be a primary reference point for researchers and doctoral students in relevant domains that seek a quick exposure to the field. The presentation focuses primarily on the applicability of the methods and the non-expert reader will find this book useful for starting designing and implementing algorithm portfolios. The book familiarizes the reader with algorithm portfolios through current advances, applications, and open problems. Fundamental issues in building effective and efficient algorithm portfolios such as selection of constituent algorithms, allocation of computational resources, interaction between algorithms and parallelism vs. sequential implementations are discussed. Several new applications are analyzed and insights on the underlying algorithmic designs are provided. Future directions, new challenges, and open problems in the design of algorithm portfolios and applications are explored to further motivate research in this field. 410 0$aSpringerBriefs in Optimization,$x2191-575X 606 $aOperations research 606 $aManagement science 606 $aAlgorithms 606 $aMicroprogramming 606 $aDiscrete mathematics 606 $aOperations Research, Management Science 606 $aAlgorithms 606 $aControl Structures and Microprogramming 606 $aDiscrete Mathematics 606 $aAlgorismes$2thub 606 $aOptimització matemàtica$2thub 608 $aLlibres electrònics$2thub 615 0$aOperations research. 615 0$aManagement science. 615 0$aAlgorithms. 615 0$aMicroprogramming. 615 0$aDiscrete mathematics. 615 14$aOperations Research, Management Science . 615 24$aAlgorithms. 615 24$aControl Structures and Microprogramming. 615 24$aDiscrete Mathematics. 615 7$aAlgorismes 615 7$aOptimització matemàtica 676 $a518.1 700 $aSouravlias$b Dimitris$0853200 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466562303316 996 $aAlgorithm portfolios$91905144 997 $aUNISA