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9th EMO 2017: Münster, Germany
- Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze
, Margaret M. Wiecek, Yaochu Jin, Christian Grimme:
Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Lecture Notes in Computer Science 10173, Springer 2017, ISBN 978-3-319-54156-3 - Naveed Reza Aghamohammadi
On the Effect of Scalarising Norm Choice in a ParEGO implementation. 1-15 - Cristóbal Barba-González, José García-Nieto
Multi-objective Big Data Optimization with jMetal and Spark. 16-30 - Leonardo C. T. Bezerra
An Empirical Assessment of the Properties of Inverted Generational Distance on Multi- and Many-Objective Optimization. 31-45 - Julian Blank, Kalyanmoy Deb, Sanaz Mostaghim
Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms. 46-60 - Aymeric Blot
Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation. 61-76 - Fritz Bökler
The Multiobjective Shortest Path Problem Is NP-Hard, or Is It? 77-87 - Marlon Alexander Braun, Pradyumn Kumar Shukla
Angle-Based Preference Models in Multi-objective Optimization. 88-102 - Dimo Brockhoff, Anne Auger, Nikolaus Hansen
Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. 103-119 - Flávio Vinícius Cruzeiro Martins
A Multiobjective Strategy to Allocate Roadside Units in a Vehicular Network with Guaranteed Levels of Service. 120-134 - Oliver Cuate, Bilel Derbel, Arnaud Liefooghe
An Approach for the Local Exploration of Discrete Many Objective Optimization Problems. 135-150 - Yves De Smet, Jean-Philippe Hubinont, Jean Rosenfeld:
A Note on the Detection of Outliers in a Binary Outranking Relation. 151-159 - Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano:
Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results. 160-175 - Roman Denysiuk, António Gaspar-Cunha
Weighted Stress Function Method for Multiobjective Evolutionary Algorithm Based on Decomposition. 176-190 - João A. Duro
Timing the Decision Support for Real-World Many-Objective Optimization Problems. 191-205 - Stefan Eppe, Yves De Smet:
On the Influence of Altering the Action Set on PROMETHEE II's Relative Ranks. 206-220 - Xavier Gandibleux
Peek - Shape - Grab: A Methodology in Three Stages for Approximating the Non-dominated Points of Multiobjective Discrete/Combinatorial Optimization Problems with a Multiobjective Metaheuristic. 221-235 - Mario Garza-Fabre
A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. 236-251 - Tobias Glasmachers:
A Fast Incremental BSP Tree Archive for Non-dominated Points. 252-266 - Richard A. Gonçalves
Adaptive Operator Selection for Many-Objective Optimization with NSGA-III. 267-281 - Jussi Hakanen, Joshua D. Knowles
On Using Decision Maker Preferences with ParEGO. 282-297 - Daniel Horn, Melanie Dagge
First Investigations on Noisy Model-Based Multi-objective Optimization. 298-313 - Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
Fusion of Many-Objective Non-dominated Solutions Using Reference Points. 314-328 - Pascal Kerschke
An Expedition to Multimodal Multi-objective Optimization Landscapes. 329-343 - Marie-Éléonore Kessaci-Marmion
Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems. 344-358 - Ahmed Khalifa
Multi-objective Adaptation of a Parameterized GVGAI Agent Towards Several Games. 359-374 - Magdalena A. K. Lang, Christian Grimme:
Towards Standardized and Seamless Integration of Expert Knowledge into Multi-objective Evolutionary Optimization Algorithms. 375-389 - Ke Li, Kalyanmoy Deb, Okkes Tolga Altinöz, Xin Yao
Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results. 390-405 - Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes
Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. 406-421 - Arnaud Liefooghe
A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems. 422-437 - Renan Santos Mendes, Elizabeth F. Wanner
Dimensionality Reduction Approach for Many-Objective Vehicle Routing Problem with Demand Responsive Transport. 438-452 - Ruby L. V. Moritz, Sanaz Mostaghim
Heterogeneous Evolutionary Swarms with Partial Redundancy Solving Multi-objective Tasks. 453-468 - Pramudita Satria Palar, Koji Shimoyama
Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization. 469-483 - Ana Amélia S. Pereira, Helio J. C. Barbosa, Heder S. Bernardino:
Predator-Prey Techniques for Solving Multiobjective Scheduling Problems for Unrelated Parallel Machines. 484-498 - Miriam Pescador-Rojas, Raquel Hernández Gómez, Elizabeth Montero
An Overview of Weighted and Unconstrained Scalarizing Functions. 499-513 - Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch
Multi-objective Representation Setups for Deformation-Based Design Optimization. 514-528 - Susanne Rosenthal, Markus Borschbach:
Design Perspectives of an Evolutionary Process for Multi-objective Molecular Optimization. 529-544 - Haitham Seada, Mohamed Abouhawwash
Towards a Better Balance of Diversity and Convergence in NSGA-III: First Results. 545-559 - Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization. 560-574 - Olivier Sobrie, Vincent Mousseau
A Population-Based Algorithm for Learning a Majority Rule Sorting Model with Coalitional Veto. 575-589 - A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms. 590-605 - Ryoji Tanabe, Akira Oyama:
The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III. 606-621 - Kevin Tierney
Multi-objective Optimization for Liner Shipping Fleet Repositioning. 622-638 - Vanessa Volz, Günter Rudolph, Boris Naujoks
Surrogate-Assisted Partial Order-Based Evolutionary Optimisation. 639-653 - Hao Wang
Hypervolume Indicator Gradient Ascent Multi-objective Optimization. 654-669 - Simon Wessing, Rosa Pink, Kai Brandenbusch, Günter Rudolph:
Toward Step-Size Adaptation in Evolutionary Multiobjective Optimization. 670-684 - Kaifeng Yang, Michael Emmerich
Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time. 685-700
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