000 07983nam a22006975i 4500
001 978-3-031-27250-9
003 DE-He213
005 20240730203546.0
007 cr nn 008mamaa
008 230220s2023 sz | s |||| 0|eng d
020 _a9783031272509
_9978-3-031-27250-9
024 7 _a10.1007/978-3-031-27250-9
_2doi
050 4 _aQA9.58
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a005.13
_223
245 1 0 _aEvolutionary Multi-Criterion Optimization
_h[electronic resource] :
_b12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings /
_cedited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXIX, 636 p. 214 illus., 187 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13970
505 0 _aAlgorithm Design and Engineering -- Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization -- A Two-stage Algorithm for Integer Multiobjective Simulation Optimization -- RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving -- Cooperative coevolutionary NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective Optimization -- Data-Driven Evolutionary Multi-Objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts -- Eliminating Non-dominated Sorting from NSGA-III -- Scalability of Multi-Objective Evolutionary Algorithms for Solving Real-World Complex Optimization Problems -- Machine Learning and Multi-criterion Optimization -- Multi-Objective Learning using HV Maximization -- Sparse Adversarial Attack via Bi-Objective Optimization -- Investigating Innovized Progress Operators with Different Machine Learning Methods -- End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location -- Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms -- Surrogate-assisted Multi-objective Optimization via Genetic Programming based Symbolic Regression -- Learning to Predict Pareto-optimal Solutions From Pseudo-weights -- A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization -- Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling -- Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling -- Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables -- Feature-based Benchmarking of Distance-based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective -- Benchmarking and Performance Assessment -- Partially Degenerate Multi-Objective Test Problems -- Peak-A-Boo! GeneratingMulti-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets -- MACO: A Real-world inspired Benchmark for Multi-objective Evolutionary Algorithms -- A scalable test suite for bi-objective multidisciplinary optimisation -- Performance Evaluation of Multi-Objective Evolutionary Algorithms using Artificial and Real-World Problems -- A Novel Performance Indicator based on the Linear Assignment Problem -- A Test Suite for Multi-objective Multi-fidelity Optimization -- Indicator Design and Complexity Analysis -- Diversity enhancement via magnitude -- Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems -- Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems -- On the Computational Complexity of Efficient Non-Dominated Sort using Binary Search -- Applications in Real World Domains -- Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control -- Joint Price Optimization across a Portfolio of Fashion E-commerce Products -- Improving MOEA/D with Knowledge Discovery. Application to a Bi-Objective Routing Problem -- The Prism-Net Search Space Representation for Multi-Objective Building Spatial Design -- Selection Strategies for a Balanced Multi- or Many-Objective Molecular Optimization and Genetic Diversity: a Comparative Study -- A Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific Differentially Co-expressed and Functionally Enriched Gene Modules -- A Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific Differentially Co-expressed and Functionally Enriched Gene Modules. -Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction -- Transfer of Multi-Objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem -- Multi-Criteria Decision Making and Interactive Algorithms -- Preference-Based Nonlinear Normalization for Multiobjective Optimization -- Incorporating preference information interactively in NSGA-III by the adaptation of reference vectors -- A Systematic Way of Structuring Real-World Multiobjective Optimization Problems -- IK-EMOViz: An Interactive Knowledge-based Evolutionary Multi-objective Optimization Framework -- An Interactive Decision Tree-Based Evolutionary Multi-Objective Algorithm.
520 _aThis book constitutes the refereed proceedings of the 12th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2022 held in Leiden, The Netherlands, during March 20-24, 2023. The 44 regular papers presented in this book were carefully reviewed and selected from 65 submissions. The papers are divided into the following topical sections: Algorithm Design and Engineering; Machine Learning and Multi-criterion Optimization; Benchmarking and Performance Assessment; Indicator Design and Complexity Analysis; Applications in Real World Domains; and Multi-Criteria Decision Making and Interactive Algorithms.
650 0 _aAlgorithms.
_93390
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aArtificial intelligence.
_93407
650 0 _aComputers.
_98172
650 0 _aComputer networks .
_931572
650 0 _aSocial sciences
_xData processing.
_983360
650 1 4 _aDesign and Analysis of Algorithms.
_931835
650 2 4 _aMathematics of Computing.
_931875
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputing Milieux.
_955441
650 2 4 _aComputer Communication Networks.
_9176592
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
700 1 _aEmmerich, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9176593
700 1 _aDeutz, André.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9176594
700 1 _aWang, Hao.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9176595
700 1 _aKononova, Anna V.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9176596
700 1 _aNaujoks, Boris.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9176597
700 1 _aLi, Ke.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9176598
700 1 _aMiettinen, Kaisa.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9176599
700 1 _aYevseyeva, Iryna.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9176600
710 2 _aSpringerLink (Online service)
_9176601
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031272493
776 0 8 _iPrinted edition:
_z9783031272516
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13970
_923263
856 4 0 _uhttps://doi.org/10.1007/978-3-031-27250-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c97558
_d97558