LEADER 03784nam  22006855  450 
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010   $a981-16-3127-1
010   $a981-16-3128-X
010   $a981-16-3128-X
024 7 $a10.1007/978-981-16-3128-3
035   $a(CKB)4100000011995612
035   $a(MiAaPQ)EBC6692784
035   $a(Au-PeEL)EBL6692784
035   $a(PPN)257354336
035   $a(OCoLC)1264473424
035   $a(DE-He213)978-981-16-3128-3
035   $a(EXLCZ)994100000011995612
100   $a20210806d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFrontiers in Nature-Inspired Industrial Optimization /$fedited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022.
215   $a1 online resource (245 pages)
225 1 $aSpringer Tracts in Nature-Inspired Computing,$x2524-5538
311 08$a981-16-3127-1 
327   $aAssociation Rules Over Time -- A Study of Crossover Operators in Genetic Algorithms -- Memetic Strategies for Network Design Problems -- A Coronavirus Optimization Algorithm for Solving The Container Retrieval Problem -- Optimum Outlier Detection in Internet of Things Industries Using Autoencoder -- Particle Swarm Optimization Advances in Internet of Things Industry -- Reconfiguration of Electric Power Distribution Networks: A Typical Application of Metaheuristics in Electrical Power Field -- Reconfiguration of Electric Power Distribution Networks: A Typical Application of Metaheuristics in Electrical Power Field -- Multi Objective Optimization and Decision Making for Net Zero Energy Smart House -- Using Fuzzy Approach In Determining Critical Parameters for Optimum Safety Functions In Mega Projects (Case Study: Iran's Construction Industry) -- Using Fuzzy Approach in Determining Critical Parameters for Optimum Safety Functions in Mega Projects (Case Study: Iran's Construction Industry) -- Evolutionary Machine Learning Powered by Genetics Algorithm for Iot-Specific Health Monitoring of Agriculture Vehicles.
330   $aThe book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field. .
410  0$aSpringer Tracts in Nature-Inspired Computing,$x2524-5538
606   $aComputational intelligence
606   $aMathematical optimization
606   $aAlgorithms
606   $aMathematics$xData processing
606   $aComputational Intelligence
606   $aOptimization
606   $aAlgorithms
606   $aComputational Science and Engineering
615  0$aComputational intelligence.
615  0$aMathematical optimization.
615  0$aAlgorithms.
615  0$aMathematics$xData processing.
615 14$aComputational Intelligence.
615 24$aOptimization.
615 24$aAlgorithms.
615 24$aComputational Science and Engineering.
676   $a620.1121
702   $aKhosravy$b Mahdi
702   $aGupta$b Neeraj
702   $aPatel$b Nilesh
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910768200003321
996   $aFrontiers in nature-inspired industrial optimization$93656163
997   $aUNINA