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ORCID19th PPSN 2026: Trento, Italy - Part II
- Giovanni Iacca
, Giorgia Nadizar, Anil Yaman, Doina Bucur, Antonio Della Cioppa, Ting Hu, Eric Medvet, Sarah L. Thomson:
Parallel Problem Solving from Nature - PPSN XIX - 19th International Conference, PPSN 2026, Trento, Italy, August 29 - September 2, 2026, Proceedings, Part II. Lecture Notes in Computer Science 16986, Springer 2027, ISBN 978-3-032-36222-3
Multi-objective Optimization
- Mahboubeh Nezhadmoghaddam, Adrián Isaí Morales-Paredes, Julio Juárez, Jesús Guillermo Falcón-Cardona, Víctor Adrián Sosa-Hernández:
A Permutation-Based Reformulation for Approximating Weitzman Diversity for Benchmarking in Multi-objective Optimization. 3-18 - Ke Shang, Zhiyun Xiao, Yuxuan Liu, Jianguo Li, Shaojiang Wang, Wei Sun:
A Scalable Benchmark Test Suite for Dynamic Multi-objective Optimization with a Changing Number of Objectives. 19-34 - Jiarong Ou, Yutao Lai, Hai-Lin Liu:
Accelerating Bilevel Evolutionary Multi-objective Optimization via Offline Parametric Pareto Set Learning. 35-50 - Takuro Tanaka, Yuma Horaguchi, Yuma Yamaguchi, Kei Nishihara, Masaya Nakata:
An Easy-to-Use Extension of Surrogate-Assisted Multi-Objective Evolutionary Algorithms for Expensive Robust Optimization. 51-68 - Sebastian Bunda, Jeroen Rook, Nikolaos Alachiotis, Luuk J. Spreeuwers:
An Empirical Study on the Realism Gap of Benchmarks for Multi-Objective Neural Architecture Search. 69-86 - Cristian Pop, Adrian Petrovan, Petrica C. Pop:
Benchmarking the Multi-objective Evolutionary Algorithms for Solving Non-linear Multi-objective Fixed-Charge Transportation Problems. 87-102 - Ryuichi Mogami, Ryoji Tanabe:
Effects of Objective Normalization on Regions of Interest in Preference-Based Evolutionary Multi-objective Optimization. 103-119 - Surendra Kurivella, Francisco Chicano, Darrell Whitley, Francesco Cecere, Bilel Derbel:
Efficient Multi-child Recombination for Bi-objective NK Landscapes: A Comparison to Exact Pareto Fronts. 120-134 - Narges Tavassoli Kejani, Andrew M. Sutton, Frank Neumann:
Evolutionary Algorithms and Multi-objective Minimum Spanning Trees with Limited Distinct Weight Values. 135-150 - Yael Andrade-Ibarra, Adriana Lara, Luis F. Villagómez-Canela, Lourdes Uribe, Giovanni Guzmán:
Evolutionary Bi-objective Optimization for Safer Student Cycling Routes: Algorithmic Design and Real-World Validation. 151-166 - Zheng Tan, Bo Yuan, Miqing Li:
From Population to Individual: A New Evolutionary Model for Multi-Objective CMA-ES. 167-182 - Rahul Soni, Matthew J. Craven, David J. Walker, Julian Stander:
Hybrid Adaptive RL Preference Learning in Multi-objective Portfolio Optimisation. 183-198 - Lucía Araújo, Ignacio Fernández, Sergio Nesmachnow, Pedro Moreno-Bernal, Jamal Toutouh:
Hybrid Multiobjective Evolutionary Search for Realistic Synthetic Face Image Generation. 199-215 - Lijing Zhang, Yan Qiang, Juanjuan Zhao:
Learning-Augmented Cluster-Wise Prediction for Dynamic Multi-Objective Optimization. 216-232 - Qianyun Ye, Mounir Hafsa, Laetitia Jourdan, Clarisse Dhaenens, Julie Jacques:
Multi-objective Approaches for Leakage-Safe Compact Prediction on Temporal Logs. 233-249 - Liam Wigney, Frank Neumann:
Multitask Pareto Optimization for Monotone Submodular Problems with Dynamic Constraints. 250-266 - Mathieu Cherpitel, Thomas Bäck, Martijn Tannemaat, Anna V. Kononova:
Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection. 267-283 - Pedro Sanches Zambrano, Eduardo Faria de Souza, Altino Dantas, Celso G. Camilo-Junior:
Operator-Host Compatibility: When Does IVF Help SPEA2, NSGA-II, or NSGA-III? 284-298 - Lie Meng Pang, Hisao Ishibuchi:
Performance Indicators for Anytime Performance Analysis of Multi-objective Evolutionary Algorithms. 299-314 - Melika Zabihi Neyshaburi, Dirk V. Arnold:
Pooling with Optimal Hypervolume Subset Selection for Bi-objective Evolutionary Optimization. 315-331 - Songbai Liu, Xun Zhou, Hao Sun, Lijia Ma, Qiuzhen Lin, Jianyong Chen:
Population-Aware Contrastive Surrogates for Expensive Multiobjective Optimization. 332-349 - Maomao Liang, Juergen Branke, Kaisa Miettinen, Bhupinder Singh Saini, Michael T. M. Emmerich:
Preference Guided Multiobjective Bayesian Optimization with Aspiration and Reservation Levels. 350-366 - Jordan N. Cork, Bogdan Filipic:
Revisiting the DMulti-MADS and NSGA-II Algorithms on Novel Benchmarks. 367-381 - Duc-Cuong Dang, Andre Opris, Dirk Sudholt:
SPEA2+: Improved Density Estimation in SPEA2 with Provable Runtime Guarantees. 382-399 - Kenneth Zhang, Lie Meng Pang, Hisao Ishibuchi:
Toward a Better NSGA-III: Addressing Consistency, Stability, and Uniformity. 400-416 - Zixin Hu, Yuan Liu, Zhizhong Liu, Juan Zou, Jinhua Zheng:
Weight-Instance Early Fusion for Neural Multi-Objective Combinatorial Optimization. 417-431
Swarm Intelligence and ACO
- Chichao An, Aoyu Li, Yishan Hu, Yan Geng:
DASOF-HSI: Dual-Stage Adaptive Subset Optimization Framework via Improved Harmony Search for Multimodal Mild Cognitive Impairment Detection. 435-451 - De-Gang Chen, Peng Wang, Shuyin Xia:
Granular Ball Enhanced Multimodal Ant Colony Optimization for the Multi-Solution Traveling Salesman Problem. 452-468 - Chen-Ke Qiu, Gong-Wei Song, Qiang Yang, Dan-Ting Duan, Pei-Lan Xu, Xu-Dong Gao, Zhenyu Lu, Jun Zhang:
Matrix-Based Ant Colony Optimization with Matrix-Based 2-Opt for Traveling Salesman Problem. 469-484 - Rakshit Arora, Mohammad Majid al-Rifaie:
Undersampled MRI Reconstruction with Swarm Intelligence. 485-500
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