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PPSN 2026

A

International Conference on Parallel Problem Solving From Nature

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68
accepted papers
64
authors
August 29-September 2, 2026
dates
Italy
location

68 / 68 papers

  1. 1
    A Bi-heuristic Initialized NSGA-II Algorithm for Multi-skilled Human-Robot Collaborative Disassembly Line Balancing Considering Robot Technology Tiers and Operator Experience Levels
    Mohammad Ghasemi
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  2. 2
    A Generator for Creating Streaming Continuous Optimisation Benchmarks
    Mate Botond Nemeth
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  3. 3
    A Permutation-Based Reformulation for Approximating Weitzman Diversity for Benchmarking in Multi-objective Optimization
    Mahboubeh Nezhadmoghaddam
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  4. 4
    A Scalable Benchmark Test Suite for Dynamic Multi-objective Optimization with a Changing Number of Objectives
    Ke Shang
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  5. 5
    Accelerating Bilevel Evolutionary Multi-objective Optimization via Offline Parametric Pareto Set Learning
    Jiarong Ou
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  6. 6
    Accelerating Lagrangian Relaxation via Dual-Guided Genetic Search for UAV Trajectory and Camera Orientation Optimization
    Ning Xue
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  7. 7
    An Analysis of the Focused Jump-and-Repair EA on Parameterized Max-2-Sat
    Liam Gaeuman
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  8. 8
    An Easy-to-Use Extension of Surrogate-Assisted Multi-Objective Evolutionary Algorithms for Expensive Robust Optimization
    Takuro Tanaka
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  9. 9
    An Empirical Study on the Realism Gap of Benchmarks for Multi-Objective Neural Architecture Search
    Sebastian Bunda
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  10. 10
    Benchmarking the Multi-objective Evolutionary Algorithms for Solving Non-linear Multi-objective Fixed-Charge Transportation Problems
    Cristian Pop
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  11. 11
    Beyond IGO-Flow: Toward Convergence Analysis of IGO in Continuous Spaces
    Ryosuke Kimura
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  12. 12
    Combinatorial Landscape Analysis for Dominating Set and Vertex Coloring
    Johanna Gasse
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  13. 13
    DASOF-HSI: Dual-Stage Adaptive Subset Optimization Framework via Improved Harmony Search for Multimodal Mild Cognitive Impairment Detection
    Chichao An
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  14. 14
    Decomposing Anytime Algorithm Performance with Bayesian Ranking ANOVA
    Jonathan Wurth
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  15. 15
    Determining Destroy Sets in Large Neighborhood Search by Generative Flow Networks
    Maria Bresich
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  16. 16
    Effective Traveling for Metric Instances of the Traveling Thief Problem
    Jan Eube
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  17. 17
    Effects of Objective Normalization on Regions of Interest in Preference-Based Evolutionary Multi-objective Optimization
    Ryuichi Mogami
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  18. 18
    Efficient AB-Cycle Fusion: Boosting GPX and Assessing Its Impact on EAX
    Jonathan Heins
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  19. 19
    Efficient Multi-child Recombination for Bi-objective NK Landscapes: A Comparison to Exact Pareto Fronts
    Surendra Kurivella
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  20. 20
    Equilibrium Analysis of a Variable Metric Evolution Strategy
    Stephan Frank
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  21. 21
    Evolutionary Algorithms and Multi-objective Minimum Spanning Trees with Limited Distinct Weight Values
    Narges Tavassoli Kejani
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  22. 22
    Evolutionary Bi-objective Optimization for Safer Student Cycling Routes: Algorithmic Design and Real-World Validation
    Yael Andrade-Ibarra
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  23. 23
    Evolutionary Latent Space Search for Real-Time Dynamic Vehicle Routing Under Demand and Traffic Uncertainty
    Li Li
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  24. 24
    First Hitting Times for Multiple Processes and Targets
    Timo Kötzing
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  25. 25
    From Networks to Landscapes: Sampling and Topographic Visualisation of Continuous LONs
    Quentin Renau
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  26. 26
    From Population to Individual: A New Evolutionary Model for Multi-Objective CMA-ES
    Zheng Tan
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  27. 27
    From Small to Large: A Heuristic Divide-and-Neural-Conquer Framework for Large-Scale Vehicle Routing Problems
    Debing Wang
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  28. 28
    Generating Point Sets of Low Star Discrepancy by Optimizing Kronecker Constructions
    Imène Ait Abderrahim
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  29. 29
    Granular Ball Enhanced Multimodal Ant Colony Optimization for the Multi-Solution Traveling Salesman Problem
    De-Gang Chen
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  30. 30
    HCPS: Heuristic Candidate-Space Policy Search for Agile Earth Observation Satellite Scheduling
    Pengfei Gao
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  31. 31
    Hybrid Adaptive RL Preference Learning in Multi-objective Portfolio Optimisation
    Rahul Soni
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  32. 32
    Hybrid Multiobjective Evolutionary Search for Realistic Synthetic Face Image Generation
    Lucía Araújo
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  33. 33
    Improved Runtime Bound for the (μ +1) -EA on BinVal
    Joris Belder
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  34. 34
    Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem
    Liam Wigney
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  35. 35
    Learning to Solve Complex Constrained Routing Problems with Feasibility-Guided Reward And Diversity-Guided Policy
    Yuanxu Yang
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  36. 36
    Learning-Augmented Cluster-Wise Prediction for Dynamic Multi-Objective Optimization
    Lijing Zhang
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  37. 37
    Linear Ordering Problem: Time for a Change
    Fabrizio Fagiolo
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  38. 38
    Matrix-Based Ant Colony Optimization with Matrix-Based 2-Opt for Traveling Salesman Problem
    Chen-Ke Qiu
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  39. 39
    Multi-objective Approaches for Leakage-Safe Compact Prediction on Temporal Logs
    Qianyun Ye
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  40. 40
    Multitask Pareto Optimization for Monotone Submodular Problems with Dynamic Constraints
    Liam Wigney
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  41. 41
    Never-Forgetting Genetic Algorithms on OneMax: First Insights
    Maxim Buzdalov
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  42. 42
    Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection
    Mathieu Cherpitel
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  43. 43
    On the Generalization Bounds of Symbolic Regression with Genetic Programming
    Masahiro Nomura
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  44. 44
    On the Runtime Analysis of Reinforcement Learning Hyper-Heuristics
    Pietro S. Oliveto
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  45. 45
    Operator-Host Compatibility: When Does IVF Help SPEA2, NSGA-II, or NSGA-III?
    Pedro Sanches Zambrano
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  46. 46
    Parallel Local Search for MaxSAT with Solutions and Score Functions Co-evolving
    Mengchuan Zou
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  47. 47
    Performance Indicators for Anytime Performance Analysis of Multi-objective Evolutionary Algorithms
    Lie Meng Pang
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  48. 48
    Pooling with Optimal Hypervolume Subset Selection for Bi-objective Evolutionary Optimization
    Melika Zabihi Neyshaburi
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  49. 49
    Population-Aware Contrastive Surrogates for Expensive Multiobjective Optimization
    Songbai Liu
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  50. 50
    Preference Guided Multiobjective Bayesian Optimization with Aspiration and Reservation Levels
    Maomao Liang
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