LEADER 01087nam 2200349Ia 450 001 996397131103316 005 20200824132509.0 035 $a(CKB)4940000000059152 035 $a(EEBO)2248501488 035 $a(OCoLC)ocm13618339e 035 $a(OCoLC)13618339 035 $a(EXLCZ)994940000000059152 100 $a19860521d1681 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 03$aAn Answer to the protestation of the nineteen Lords against the rejecting of the impeachment of Mr. Fitz-Harris$b[electronic resource] 210 $aLondon $cPrinted for Cave Pulleyn$d1681 215 $a7 p 300 $aCaption title. 300 $aImprint from colophon. 300 $aReproduction of original in Huntington Library. 330 $aeebo-0113 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bEAA 801 2$bUMI 801 2$bWaOLN 906 $aBOOK 912 $a996397131103316 996 $aAn answer to the protestation of the nineteen Lords against the rejecting of the impeachment of Mr. Fitz-Harris$92312353 997 $aUNISA LEADER 04856nam 22007575 450 001 9910629292703321 005 20251029103402.0 010 $a9783031210945 010 $a3031210948 024 7 $a10.1007/978-3-031-21094-5 035 $a(MiAaPQ)EBC7134114 035 $a(Au-PeEL)EBL7134114 035 $a(CKB)25299362200041 035 $a(OCoLC)1350689905 035 $a(PPN)266348661 035 $a(DE-He213)978-3-031-21094-5 035 $a(EXLCZ)9925299362200041 100 $a20221104d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBioinspired Optimization Methods and Their Applications $e10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17?18, 2022, Proceedings /$fedited by Marjan Mernik, Tome Eftimov, Matej ?repin?ek 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (288 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13627 311 08$aPrint version: Mernik, Marjan Bioinspired Optimization Methods and Their Applications Cham : Springer International Publishing AG,c2022 9783031210938 320 $aIncludes bibliographical references and index. 327 $aAn agent-based model to investigate different behaviours in a crowd simulation -- Accelerating Evolutionary Neural Architecture Search for Remaining Useful Life Prediction -- ACOCaRS: Ant Colony Optimization Algorithm for Traveling Car Renter Problem -- A new type of anomaly detection problem in dynamic graphs: An ant colony optimization approach -- CSS- A Cheap-Surrogate-based Selection Operator for Multi-objective Optimization -- Empirical Similarity Measure for Metaheuristics -- Evaluation of Parallel Hierarchical Differential Evolution for Min-Max Optimization Problems Using SciPy -- Explaining Differential Evolution Performance Through Problem Landscape Characteristics -- Genetic improvement of TCP congestion avoidance -- Hybrid Acquisition Processes in Surrogate-based Optimization. Application to Covid-19 Contact Reduction -- Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System -- Modified Football Game Algorithm for Multimodal Optimization of Test TaskScheduling Problems Using Normalized Factor Random Key Encoding Scheme -- Performance Analysis of Selected Evolutionary Algorithms -- Refining Mutation Variants in Cartesian Genetic Programming -- Slime mould algorithm: An experimental study of nature-inspired optimizer -- SMOTE inspired extension for differential evolution -- The Influence of Local Search over Genetic Algorithms with Balanced Representations -- Trade-off of networks on weighted space analyzed via a method mimicking human walking track superposition -- Towards interpretable policies in multi-agent reinforcement learning tasksb. 330 $aThis book constitutes the refereed proceedings of the 10th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2022, held in Maribor, Slovenia, in November 2022. The 19 full papers presented in this book were carefully reviewed and selected from 23 submissions. The papers in this BIOMA proceedings specialized in bioinspired algorithms as a means for solving the optimization problems and came in two categories: theoretical studies and methodology advancements on the one hand, and algorithm adjustments and their applications on the other. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13627 606 $aComputer engineering 606 $aComputer networks 606 $aSoftware engineering 606 $aAlgorithms 606 $aComputer science$xMathematics 606 $aArtificial intelligence 606 $aComputer Engineering and Networks 606 $aSoftware Engineering 606 $aDesign and Analysis of Algorithms 606 $aMathematics of Computing 606 $aArtificial Intelligence 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aSoftware engineering. 615 0$aAlgorithms. 615 0$aComputer science$xMathematics. 615 0$aArtificial intelligence. 615 14$aComputer Engineering and Networks. 615 24$aSoftware Engineering. 615 24$aDesign and Analysis of Algorithms. 615 24$aMathematics of Computing. 615 24$aArtificial Intelligence. 676 $a519.3 702 $aMernik$b Marjan 702 $aEftimov$b Tome 702 $aC?repins?ek$b Matej 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910629292703321 996 $aBioinspired Optimization Methods and Their Applications$92010769 997 $aUNINA