LEADER 04278nam 22006375 450 001 9910299649203321 005 20200630010425.0 010 $a981-10-8210-3 024 7 $a10.1007/978-981-10-8210-8 035 $a(CKB)4100000002892671 035 $a(MiAaPQ)EBC5347271 035 $a(DE-He213)978-981-10-8210-8 035 $a(EXLCZ)994100000002892671 100 $a20180301d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnvironmental and Natural Disaster Resilience of Indonesia /$fby Yuzuru Miyata, Hiroyuki Shibusawa, Indrawan Permana, Any Wahyuni 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (201 pages) 225 1 $aNew Frontiers in Regional Science: Asian Perspectives,$x2199-5974 ;$v23 311 $a981-10-8209-X 330 $aThis study aims at analyzing the resilience of Indonesia from two aspects: one is was natural disaster and the other  is environmental protection. Therefore the study comprises two parts. The first aims at analyzing Palangkaraya City in Central Kalimantan Province by constructing apartial and a general equilibrium models; hence the existence of illegal settlements can  be explained systematically. The models demonstrates a new attempt in city analysis by introducing the expected flood damage rate on households? assets. Furthermore, a numerical simulation shows a new finding, namely, that the bid rent by representative low-income households in flood-prone areas  canreceive higher than the bid rent by the representative high-income households. The second part examines (1) the provision of public goods such as road construction on the Maros?Watampone Road, and (2) the urban economics of Makassar City. In this second part, the analytic hierarchy process is  applied to design efficiency with respect to selecting the best type of road construction in a conservation area. As a result, the elevated bridge is  determined to be the most suitable type of construction, followed by cut-and-fill and the tunnel system. The second research approach uses a computable general equilibrium (CGE) model that adds environmental objectives to urban economic objectives in Makassar City. The model examines  the impact of the carbon tax based on the 2006 input?output table for Makassar City. The results of all simulations of the CGE model indicates that a carbon tax can reduce the volume of CO2 emissions by 8 %. 410 0$aNew Frontiers in Regional Science: Asian Perspectives,$x2199-5974 ;$v23 606 $aUrban economics 606 $aAsia?Economic conditions 606 $aDevelopment economics 606 $aPopulation 606 $aEnvironmental economics 606 $aUrban Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W49010 606 $aAsian Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W45010 606 $aDevelopment Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W42000 606 $aPopulation Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W38000 606 $aEnvironmental Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W48000 615 0$aUrban economics. 615 0$aAsia?Economic conditions. 615 0$aDevelopment economics. 615 0$aPopulation. 615 0$aEnvironmental economics. 615 14$aUrban Economics. 615 24$aAsian Economics. 615 24$aDevelopment Economics. 615 24$aPopulation Economics. 615 24$aEnvironmental Economics. 676 $a363.34 700 $aMiyata$b Yuzuru$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060809 702 $aShibusawa$b Hiroyuki$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPermana$b Indrawan$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWahyuni$b Any$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299649203321 996 $aEnvironmental and Natural Disaster Resilience of Indonesia$92515845 997 $aUNINA LEADER 03743nam 22005895 450 001 9910629280803321 005 20250630101818.0 010 $a9783031201059 010 $a3031201051 024 7 $a10.1007/978-3-031-20105-9 035 $a(MiAaPQ)EBC7130117 035 $a(Au-PeEL)EBL7130117 035 $a(CKB)25264906300041 035 $a(PPN)266349161 035 $a(DE-He213)978-3-031-20105-9 035 $a(EXLCZ)9925264906300041 100 $a20221102d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis and Comparison of Metaheuristics /$fby Erik Cuevas, Omar Avalos, Jorge Gálvez 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (230 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1063 311 08$a9783031201042 311 08$a3031201043 320 $aIncludes bibliographical references. 327 $aFundamentals of Metaheuristic Computation -- A Comparative Approach for Two-Dimensional Digital IIR Filter Design Applying Different Evolutionary Computational Techniques -- Comparison of Metaheuristics for Chaotic Systems Estimation -- Comparison Study of Novel Evolutionary Algorithms for Elliptical Shapes in Images -- IIR System Identification using Several Optimization Techniques: A Review Analysis -- Fractional-order Estimation using Locust Search Algorithm -- Comparison of Optimization Techniques for Solar Cells Parameter Identification -- Comparison of Metaheuristics Techniques and Agent-Based Approaches. 330 $aThis book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emulate very different processes or systems, the rules used to model individual behavior are very similar. Under such conditions, it is not clear to identify which are the advantages or disadvantages of each metaheuristic technique. The book is compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. It is appropriate for courses such as Artificial Intelligence, Electrical Engineering, Evolutionary Computation. The book is also useful for researchers from the evolutionary and engineering communities. Likewise, engineer practitioners, who are not familiar with metaheuristic computation concepts, will appreciate that the techniques discussed are beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise in engineering areas. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1063 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a005.1 700 $aCuevas$b Erik$0761169 702 $aGa?lvez$b Jorge 702 $aAvalos$b Omar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910629280803321 996 $aAnalysis and Comparison of Metaheuristics$92967782 997 $aUNINA