LEADER 04683nam 22007575 450 001 996696879803316 005 20260102122759.0 010 $a3-032-09192-6 024 7 $a10.1007/978-3-032-09192-5 035 $a(CKB)44770153700041 035 $a(MiAaPQ)EBC32470801 035 $a(Au-PeEL)EBL32470801 035 $a(DE-He213)978-3-032-09192-5 035 $a(OCoLC)1569193617 035 $a(EXLCZ)9944770153700041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLearning and Intelligent Optimization $e19th International Conference, LION 19, Prague, Czech Republic, June 15?19, 2025, Proceedings, Part II /$fedited by Yingqian Zhang, Milan Hladik, Hossein Moosaei 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (477 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15745 311 08$a3-032-09191-8 327 $a -- Autoregressive RL Approach for Mixed-Integer Linear Programs. -- Algorithm Configuration in the Unified Planning Framework. -- Learning to Repair Infeasible$^*$ Problems with Deep Reinforcement Learning on Graphs. -- Optimal Matched Block Design For Multi-Arm Experiments. -- CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code. -- Taxi re-positioning considering driver compliance. -- A Shared Memory Optimal Parallel Redistribution Algorithm for SMC Samplers with Variable Size Samples. -- A Hybrid Quantum-Inspired and Deep Learning Approach for the Capacitated Vehicle Routing Problem with Time Windows. -- Multi-Action Sampling with Deep Reinforcement Learning for Traveling Salesman Problem. -- Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem. -- Codetector: A Framework for Zero-shot Detection of AI-Generated Code. -- Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions. -- Convex quadratic programming-based predictors: An algorithmic framework and a study of possibilities and computational challenges. -- Studies on a Bayesian Optimization Based Approach to Tune Hyperparameters of Matheuristics. -- Local iterative algorithms for approximate symmetry guided by network centralities. -- Addressing Over-fitting in Passive Constraint Acquisition through Active Learning. -- Learning to solve the Skill Vehicle Routing Problem with Deep Reinforcement Learning. -- CGD: Modifying the Loss Landscape by Gradient Regularization. -- Data Sampling-driven Adaptive Modification of Bus Routes Under Time-Varying Road Conditions. 330 $aThe two-volume set LNCS 15744 + 15745 constitutes the proceedings of the 19th International Conference on Learning and Intelligent Optimization, LION 2025, which was held in Prague, Czech Republic, during June 15?19, 2025. The 40 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They focus on exploring the intersections of Artificial Intelligence, Machine Learning, and Operations Research. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15745 606 $aNumerical analysis 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aComputer science 606 $aArtificial intelligence 606 $aSocial sciences$xData processing 606 $aComputers 606 $aNumerical Analysis 606 $aProbability and Statistics in Computer Science 606 $aTheory of Computation 606 $aArtificial Intelligence 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputing Milieux 615 0$aNumerical analysis. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aSocial sciences$xData processing. 615 0$aComputers. 615 14$aNumerical Analysis. 615 24$aProbability and Statistics in Computer Science. 615 24$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputing Milieux. 676 $a518 700 $aZhang$b Yingqian$01885033 701 $aZhang$0818977 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996696879803316 996 $aLearning and Intelligent Optimization$94519872 997 $aUNISA