LEADER 04483nam 22006135 450 001 9910770275803321 005 20251113190934.0 010 $a9783031503306$b(electronic bk.) 010 $z9783031503290 024 7 $a10.1007/978-3-031-50330-6 035 $a(MiAaPQ)EBC31024904 035 $a(Au-PeEL)EBL31024904 035 $a(Exl-AI)31024904 035 $a(CKB)29434935900041 035 $a(OCoLC)1415893868 035 $a(DE-He213)978-3-031-50330-6 035 $a(EXLCZ)9929434935900041 100 $a20231218d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Computing and Optimization $eProceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 2 /$fedited by Pandian Vasant, Mohammad Shamsul Arefin, Vladimir Panchenko, J. Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber, Roman Rodriguez-Aguilar 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (378 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v852 311 08$aPrint version: Vasant, Pandian Intelligent Computing and Optimization Cham : Springer,c2024 9783031503290 327 $a Preface -- Contents -- About the Editors -- I Artificial Intelligence, Metaheuristics, and Optimization -- Application of Metaheuristic Algorithms and Their Combinations to Travelling Salesman Problem -- 1 Introduction -- 2 Related Work -- 3 Hybrid Metaheuristics -- 3.1 ACO + TS -- 3.2 ACO + SA -- 4 Experiments and Results -- 4.1 Benchmark Instances -- 4.2 Local Optimal Solution Criterion -- 4.3 Result of Small and Medium Instances -- 4.4 Result of Large Instances -- 4.5 Time Comparison -- 4.6 Fitness Comparison -- 4.7 Robustness -- 5 Conclusions -- References -- Evolutionary Optimization of Entanglement Distillation Using Chialvo Maps -- 1 Introduction -- 2 Methods -- 2.1 Model Formulation: Entanglement Distillation -- 2.2 Combined Approach: Chialvo Map & Evolutionary Optimization -- 3 Results -- 4 Conclusions and Recommendations -- References -- Optimization of Seismic Isolator Systems via Teaching-Learning Based Optimization -- 1 Introduction$7Generated by AI. 330 $aThis book of Springer Nature is another proof of Springer?s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27?28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate ?Research Novelty with Compassion and Wisdom? with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation?a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO?2023 is published by Springer Nature?Quality Label of Enlightenment. . 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v852 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 $a006.3 700 $aVasant$b Pandian$01073665 701 $aShamsul Arefin$b Mohammad$01439019 701 $aPanchenko$b Vladimir$01439020 701 $aThomas$b J. Joshua$01439021 701 $aMunapo$b Elias$01439022 701 $aWeber$b Gerhard-Wilhelm$01368889 701 $aRodriguez Aguilar$b Roman$01438689 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910770275803321 996 $aIntelligent Computing and Optimization$93601264 997 $aUNINA