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ORCID18th PPSN 2024: Hagenberg, Austria - Part IV
- Michael Affenzeller
, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15151, Springer 2024, ISBN 978-3-031-70084-2
Multi-objective Optimization
- Kai Li, Kangnian Lin, Ruihao Zheng, Zhenkun Wang:
Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization. 3-19 - Kenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schütze:
Hypervolume Gradient Subspace Approximation. 20-35 - Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi:
LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. 36-51 - Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. 52-67 - Yilu Liu, Chengyu Lu, Xi Lin, Qingfu Zhang:
Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. 68-82 - Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Solution-Based Knowledge Discovery for Multi-objective Optimization. 83-99 - Eva Röper, Jens Weise, Christoph Steup, Sanaz Mostaghim:
Innovization for Route Planning Applied to an Uber Movement Speeds Dataset for Berlin. 100-116 - Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann:
Evolutionary Multi-objective Diversity Optimization. 117-134 - Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong:
Bayesian Forward-Inverse Transfer for Multiobjective Optimization. 135-152 - Simon Wietheger, Benjamin Doerr:
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms. 153-168 - Felipe Honjo Ide, Hernán E. Aguirre, Kiyoshi Tanaka:
Multi-objective Random Bit Climbers with Weighted Permutation on Large Scale Binary MNK-Landscapes. 169-185 - Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi:
An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization. 186-201 - Lennart Schäpermeier, Pascal Kerschke:
Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. 202-216 - Stefano Genetti, Eros Ribaga, Elia Cunegatti, Quintino F. Lotito, Giovanni Iacca:
Influence Maximization in Hypergraphs Using Multi-Objective Evolutionary Algorithms. 217-235 - Dan-Xuan Liu, Chao Qian:
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. 236-251 - Rodolfo Humberto Tamayo, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Reaching Pareto Front Shape Invariance with a Continuous Multi-objective Ant Colony Optimization Algorithm. 252-267 - Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Bilel Derbel, Enrique Alba:
Scalable Quantum Approximate Optimiser for Pseudo-Boolean Multi-objective Optimisation. 268-284 - Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong:
Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms. 285-298 - Zimin Liang, Zhiji Cui, Miqing Li:
Pareto Landscape: Visualising the Landscape of Multi-objective Optimisation Problems. 299-315
Real-World Applications
- Romain Michelucci, Denis Pallez, Tristan Cazenave, Jean-Paul Comet:
Improving Continuous Monte Carlo Tree Search for Identifying Parameters in Hybrid Gene Regulatory Networks. 319-334 - Darrell Whitley, Ozeas Quevedo de Carvalho, Mark Roberts, Vivint Shetty, Piyabutra Jampathom:
Satellite Resource Scheduling: Compaction Strategies for Genetic Algorithm Schedulers. 335-350 - Ritam Guha, Ryan Mckendrick, Bradley Feest, Kalyanmoy Deb:
Attacker-Defender Strategy Optimization Using Multi-objective Competitive Co-Evolution. 351-366 - Lee A. Christie, Atakan Sahin, Akinola Ogunsemi, Alexandru-Ciprian Zavoianu, John A. W. McCall:
On the Multi-objective Optimization of Wind Farm Cable Layouts with Regard to Cost and Robustness. 367-382 - Egor Bazhenov, Ivan Jarsky, Valeria Efimova, Sergey Muravyov:
EvoVec: Evolutionary Image Vectorization with Adaptive Curve Number and Color Gradients. 383-397 - Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia:
Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes. 398-415 - Sara Mandujano, Adriana Lara, Juan Carlos Ku-Cauich:
Using Evolutionary Algorithms for the Search of 16-Variable Weight-Wise Perfectly Balanced Boolean Functions with High Non-linearity. 416-428 - Claude Carlet, Marko Ðurasevic, Domagoj Jakobovic, Stjepan Picek:
Discovering Rotation Symmetric Self-dual Bent Functions with Evolutionary Algorithms. 429-445
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