Title Learning and intelligent optimization : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised selected papers / Roberto Battiti, Dmitri E. Kvasov, Yaroslav D. Sergeyev (eds.)

Published Cham, Switzerland : Springer, 2017

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Description 1 online resource (xiii, 390 pages) : illustrations Series Lecture notes in computer science, 0302-9743 ; 10556 LNCS sublibrary. SL 1, Theoretical computer science and general issues Lecture notes in computer science ; 10556. 0302-9743 LNCS sublibrary. SL 1, Theoretical computer science and general issues. Contents Intro -- Preface -- Organization -- Contents -- Long Papers -- An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design -- 1 Introduction -- 2 The Algorithm Design Problem (ADP) -- 3 Performance Estimation in PbO -- 3.1 Prior Art -- 3.2 An Importance Sampling Approach -- 4 Envisioned Benefits -- 5 Theoretical Feasibility -- 6 The Proof of Concept -- 6.1 Practical Challenges -- 6.2 High-Level Search Strategy -- 7 Experiments -- 7.1 Experimental Setup -- 7.2 Results and Discussion -- 8 Conclusion -- References Test Problems for Parallel Algorithms of Constrained Global Optimization -- 1 Introduction -- 2 Problem Statement -- 3 Generating a Series of Problems -- 4 Parallel Global Optimization Index Algorithm -- 5 Results of Numerical Experiments -- 6 Conclusion -- References -- Automatic Configuration of Kernel-Based Clustering: An Optimization Approach -- Abstract -- 1 Introduction -- 2 Material and Methods -- 2.1 Notation -- 2.2 The Case Study and the Data Generation Process -- 2.3 Kernel K-means -- 3 Hyperparameter Optimization of the Unsupervised Learning Phase of the Machine Learning Pipeline 3.1 Hyperparameters in the Pipeline: The Design Variables -- 3.2 Clustering Performance: The Objective Function -- 3.3 Sequential Model Based Optimization -- 3.3.1 Building the Surrogate of the Objective Function: Gaussian Processes and Random Forest -- 3.3.2 Acquisition Function: Confidence Bound -- 3.3.3 Termination Criterion -- 3.3.4 Software Environment -- 4 Results and Discussion -- 5 Conclusions -- References -- Solution of the Convergecast Scheduling Problem on a Square Unit Grid When the Transmission Range is 2 -- 1 Introduction -- 2 General Problem Formulation 3 CSP in the Unit Square Grid When the Transmission Distance is 2 -- 3.1 The Exact Lower Bound for the Schedule Length -- 3.2 Algorithm A -- 4 Conclusion -- References -- A GRASP for the Minimum Cost SAT Problem -- 1 Introduction -- 2 Mathematical Formulation of the Problem -- 3 A GRASP for MinCostSAT -- 4 Probabilistic Stopping Rule -- 4.1 Fitting Data Procedure -- 4.2 Improve Probability Procedure -- 5 Results -- 6 Conclusions -- References -- A New Local Search for the p-Center Problem Based on the Critical Vertex Concept -- 1 Introduction -- 2 GRASP Construction Phase 3 Plateau Surfer: A New Local Search Based on the Critical Vertex Concept -- 4 Experimental Results -- 5 Concluding Remarks -- References -- An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering -- 1 Introduction -- 2 The Nurse Rostering Problem -- 3 The Proposed Approach -- 3.1 Credit Assignment Module -- 3.2 Action Selection Methodology -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- Learning a Reactive Restart Strategy to Improve Stochastic Search -- 1 Introduction Summary This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny, Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning Notes Includes author index Online resource; title from PDF title page (SpringerLink, viewed November 3, 2017) Subject Machine learning -- Congresses Computer programming -- software development. Artificial intelligence. Mathematical theory of computation. User interface design & usability. 3D graphics & modelling. Algorithms & data structures. Computers -- Programming -- General. Computers -- Intelligence (AI) & Semantics. Computers -- Programming -- Algorithms. Computers -- Machine Theory. Computers -- Computer Simulation. Machine learning Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Battiti, Roberto, 1961- editor. Kvasov, Dmitri E., editor Sergeyev, Yaroslav D., 1963- editor. ISBN 9783319694047 3319694049

Other Titles LION 11

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