LEADER 02297nam 2200529 450 001 9910820090703321 005 20170821194403.0 010 $a1-4739-0633-4 035 $a(CKB)3710000000138541 035 $a(EBL)1712657 035 $a(SSID)ssj0001411652 035 $a(PQKBManifestationID)11747446 035 $a(PQKBTitleCode)TC0001411652 035 $a(PQKBWorkID)11406217 035 $a(PQKB)10734252 035 $a(MiAaPQ)EBC1712657 035 $a(PPN)238404692 035 $a(EXLCZ)993710000000138541 100 $a20140911h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe limits of social science $ecausal explanation and value relevance /$fMartyn Hammersley 210 1$aLondon, England :$cSage Publications, Ltd,$d2014. 210 4$dİ2014 215 $a1 online resource (338 p.) 300 $aDescription based upon print version of record. 311 $a1-322-09712-7 311 $a1-4462-8749-1 320 $aIncludes bibliographical references and indexes. 327 $aCover; Table of Contents; Acknowledgments; Introduction; Causation and qualitative inquiry; The problem of explanation in social science: a Weberian solution?; On the role of values in social research; From facts to value judgments? A critique of critical realism; Can social science tell us whether a society is meritocratic? A Weberian critique; We didn't predict a riot! On the public contribution of social science; Epilogue 330 $aThis book engages with key intellectual challenges facing social science today, at a time when it is under considerable pressure to demonstrate its value. It addresses questions that carry implications for research practice, quantitative or qualitative, by making use of contemporary examples, such as the London riots. 606 $aSocial sciences$xResearch 606 $aSocial sciences$xPhilosophy 615 0$aSocial sciences$xResearch. 615 0$aSocial sciences$xPhilosophy. 676 $a192.3489 700 $aHammersley$b Martyn$0118294 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910820090703321 996 $aThe limits of social science$93984913 997 $aUNINA LEADER 03889nam 2200445 450 001 9910830011903321 005 20200804100614.0 010 $a1-119-57386-6 010 $a1-119-57387-4 010 $a1-119-57429-3 035 $a(CKB)4100000010870964 035 $a(MiAaPQ)EBC6173671 035 $a(CaSebORM)9781119573845 035 $a(EXLCZ)994100000010870964 100 $a20200804d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEvolutionary computation in scheduling /$fedited by Amir H. Gandomi [and four others] 210 1$aHoboken, NJ :$cJohn Wiley & Sons, Inc.,$d[2020] 210 4$dİ2020 215 $a1 online resource (408 pages) 311 $a1-119-57384-X 327 $aEvolutionary computation in scheduling : a scientometric analysis / Amir H. Gandomi, Ali Emrouznejad, Iman Rahimi -- Role and impacts of ant colony optimization in job shop scheduling problems : a detail analysis / P.Deepalakshmi, K. Shankar -- Advanced ant colony optimization in healthcare scheduling / Reza Behmanesh, Iman Rahimi, Mostafa Zandieh, Amir H. Gandomi -- Task scheduling in heterogeneous computing systems using swarm intelligence / S Sarathambekai, K Umamaheswari -- Computationally efficient scheduling schemes for multiple antenna systems using evolutionary algorithm and swarm optimization / Prabina Pattanayak, Preetam Kumar -- An efficient modified red deer algorithm to solve a truck scheduling problem considering time windows and deadline for trucks' departure / Amir Mohammad Fathollahi-Fard, Abbas Ahmadi, Mohsen S. Sajadieh -- Application of sub-population scheduling algorithm in multi-population evolutionary dynamic optimization / Javidan Kazemi Kordestani, Mohammad Reza Meybodi -- Task scheduling in cloud environments : a survey on population-based evolutionary algorithms / Fahimeh Ramezani, Mohsen Naderpour, Javid Taheri, Jack Romanous, Albert Y. Zomaya -- Scheduling of robotic disassembly in remanufacturing using bees algorithm / Jiayi Liu, Wenjun Xu, Zude Zhou, Duc Truong Pham -- A modified fireworks algorithm to solve the heat and power generation scheduling problem in power system studies / Mohammad Sadegh Javadi, Ali Esmaeel Nezhad, Seyed-Ehsan Razavi, Abdollah Ahmadi, Joa?o P.S. Catala?o. 330 $a"This book provides insight into the use of evolutionary computations in real-world applications. This edited book allows the reader to analyze the point of view of each contributor regarding how to choose a specific evolutionary computation and how to validate the results using metrics and statistics. The spectrum of real-world optimization problems dealt with in this book includes, among others, application of EC in industry and service organizations such as healthcare scheduling, aircraft industry, school timetabling, manufacturing systems, and transportation scheduling in the supply chain. Throughout the book, the reader will find not only problems with different degrees of complexity, but also with different practical requirements, user constraints, and a variety of MOEC solution approaches. This book is ideal for engineers in industries, research scholars, advanced undergraduates and graduate students, and faculty teaching and conducting research in Operations Research and Industrial Engineering"--$cProvided by publisher. 606 $aMathematical optimization$xComputer programs 606 $aScheduling$xMathematical models 615 0$aMathematical optimization$xComputer programs. 615 0$aScheduling$xMathematical models. 676 $a519.3 702 $aGandomi$b Amir H. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830011903321 996 $aEvolutionary computation in scheduling$94040235 997 $aUNINA