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_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. |
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300 |
_aXIX, 636 p. 214 illus., 187 illus. in color. _bonline resource. |
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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 |
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650 | 0 |
_aComputer science _xMathematics. _93866 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aComputers. _98172 |
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650 | 0 |
_aComputer networks . _931572 |
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650 | 0 |
_aSocial sciences _xData processing. _983360 |
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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 |
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700 | 1 |
_aDeutz, André. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9176594 |
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700 | 1 |
_aWang, Hao. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9176595 |
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700 | 1 |
_aKononova, Anna V. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9176596 |
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700 | 1 |
_aNaujoks, Boris. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9176597 |
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700 | 1 |
_aLi, Ke. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9176598 |
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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 |
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_aSpringerLink (Online service) _9176601 |
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_iPrinted edition: _z9783031272493 |
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_iPrinted edition: _z9783031272516 |
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