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Editions20262024

PPSN 2024

A

International Conference on Parallel Problem Solving From Nature

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105
accepted papers
287
authors
September 14-18, 2024
dates
Austria
location

105 / 105 papers

  1. 1
  2. 3
    A Potential Function for a Variable-Metric Evolution Strategy
    Stephan Frank
    ,
    Tobias Glasmachers
  3. 5
    A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems
    Hiroki Shiraishi
    ,
    Rongguang Ye
    ,
    Hisao Ishibuchi
    ,
    Masaya Nakata
  4. 6
    Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming
    Yuri Lavinas
    ,
    Nathan Haut
    ,
    William Punch
    ,
    Wolfgang Banzhaf
    ,
    Sylvain Cussat-Blanc
  5. 8
    An Adaptive Approach to Bayesian Optimization with Setup Switching Costs
    Stefan Pricopie
    ,
    Richard Allmendinger
    ,
    Manuel López-Ibáñez
    ,
    Clyde Fare
    ,
    Matt Benatan
    ,
    Joshua D. Knowles
  6. 9
    An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization
    Rongguang Ye
    ,
    Longcan Chen
    ,
    Jinyuan Zhang
    ,
    Hisao Ishibuchi
  7. 10
    Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem
    Jonathan Gadea Harder
    ,
    Aneta Neumann
    ,
    Frank Neumann
  8. 11
    Ant Colony Optimization for the Dynamic Electric Vehicle Routing Problem
    Maria N. Anastasiadou
    ,
    Michalis Mavrovouniotis
    ,
    Diofantos G. Hadjimitsis
  9. 13
    Attacker-Defender Strategy Optimization Using Multi-objective Competitive Co-Evolution
    Ritam Guha
    ,
    Ryan McKendrick
    ,
    Bradley Feest
    ,
    Kalyanmoy Deb
  10. 15
    Avoiding Redundant Restarts in Multimodal Global Optimization
    Jacob de Nobel
    ,
    Diederick Vermetten
    ,
    Anna V. Kononova
    ,
    Ofer M. Shir
    ,
    Thomas Bäck
  11. 16
    Balancing Between Time Budgets and Costs in Surrogate-Assisted Evolutionary Algorithms
    Cedric J. Rodriguez
    ,
    Peter A. N. Bosman
    ,
    Tanja Alderliesten
  12. 17
    Bayesian Forward-Inverse Transfer for Multiobjective Optimization
    Tingyang Wei
    ,
    Jiao Liu
    ,
    Abhishek Gupta
    ,
    Puay Siew Tan
    ,
    Yew-Soon Ong
  13. 19
    CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points
    Kento Uchida
    ,
    Ryoki Hamano
    ,
    Masahiro Nomura
    ,
    Shota Saito
    ,
    Shinichi Shirakawa
  14. 20
    Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models
    Arnaud Liefooghe
    ,
    Ryoji Tanabe
    ,
    Sébastien Vérel
  15. 21
    Dancing to the State of the Art? - How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem
    Jonathan Heins
    ,
    Lennart Schäpermeier
    ,
    Pascal Kerschke
    ,
    Darrell Whitley
  16. 22
    Decision Tree Based Wrappers for Hearing Loss
    Miguel Rabuge
    ,
    Nuno Lourenço
  17. 23
    Discovering Rotation Symmetric Self-dual Bent Functions with Evolutionary Algorithms
    Claude Carlet
    ,
    Marko Ðurasevic
    ,
    Domagoj Jakobovic
    ,
    Stjepan Picek
  18. 24
    Emergence of Specialised Collective Behaviors in Evolving Heterogeneous Swarms
    Fuda van Diggelen
    ,
    Matteo De Carlo
    ,
    Nicolas Cambier
    ,
    Eliseo Ferrante
    ,
    Guszti Eiben
  19. 25
    Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
    Diederick Vermetten
    ,
    Johannes Lengler
    ,
    Dimitri Rusin
    ,
    Thomas Bäck
    ,
    Carola Doerr
  20. 27
    Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment
    Sarah L. Thomson
    ,
    Gabriela Ochoa
    ,
    Daan van den Berg
    ,
    Tianyu Liang
    ,
    Thomas Weise
  21. 29
    Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes
    Runlong Yu
    ,
    Robert Ladwig
    ,
    Xiang Xu
    ,
    Peijun Zhu
    ,
    Paul C. Hanson
    ,
    Yiqun Xie
    ,
    Xiaowei Jia
  22. 30
    Evolutionary Multi-objective Diversity Optimization
    Anh Viet Do
    ,
    Mingyu Guo
    ,
    Aneta Neumann
    ,
    Frank Neumann
  23. 31
    Evolve Cost-Aware Acquisition Functions Using Large Language Models
    Yiming Yao
    ,
    Fei Liu
    ,
    Ji Cheng
    ,
    Qingfu Zhang
  24. 33
    EvoVec: Evolutionary Image Vectorization with Adaptive Curve Number and Color Gradients
    Egor Bazhenov
    ,
    Ivan Jarsky
    ,
    Valeria Efimova
    ,
    Sergey Muravyov
  25. 34
    Exploring Proprioceptive Feedback in the Evolution of Modular Robots
    Babak Hosseinkhani Kargar
    ,
    Karine Miras
    ,
    A. E. Eiben
  26. 35
    Faster Optimization Through Genetic Drift
    Cella Florescu
    ,
    Marc Kaufmann
    ,
    Johannes Lengler
    ,
    Ulysse Schaller
  27. 36
    Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution
    Darian Reyes Fernández de Bulnes
    ,
    Allan de Lima
    ,
    Edgar Galván
    ,
    Conor Ryan
  28. 37
    Funnels in Multi-objective Fitness Landscapes
    Gabriela Ochoa
    ,
    Arnaud Liefooghe
    ,
    Sébastien Vérel
  29. 38
    Generalizing and Unifying Gray-Box Combinatorial Optimization Operators
    Francisco Chicano
    ,
    Darrell Whitley
    ,
    Gabriela Ochoa
    ,
    Renato Tinós
  30. 39
    GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems
    Saining Liu
    ,
    João Guilherme Cavalcanti Costa
    ,
    Yi Mei
    ,
    Mengjie Zhang
  31. 40
    Greedy Versus Curious Parent Selection for Multi-objective Evolutionary Algorithms
    Denis Antipov
    ,
    Timo Kötzing
    ,
    Aishwarya Radhakrishnan
  32. 42
    Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization
    Konstantin Dietrich
    ,
    Raphael Patrick Prager
    ,
    Carola Doerr
    ,
    Heike Trautmann
  33. 43
    Hypervolume Gradient Subspace Approximation
    Kenneth Zhang
    ,
    Angel E. Rodriguez-Fernandez
    ,
    Ke Shang
    ,
    Hisao Ishibuchi
    ,
    Oliver Schütze
  34. 45
    iMOPSE: a Comprehensive Open Source Library for Single- and Multi-objective Metaheuristic Optimization
    Konrad Gmyrek
    ,
    Pawel B. Myszkowski
    ,
    Michal Antkiewicz
    ,
    Lukasz P. Olech
  35. 46
    Improving Continuous Monte Carlo Tree Search for Identifying Parameters in Hybrid Gene Regulatory Networks
    Romain Michelucci
    ,
    Denis Pallez
    ,
    Tristan Cazenave
    ,
    Jean-Paul Comet
  36. 47
    Improving the Performance of Relocation Rules for the Container Relocation Problem with the Rollout Algorithm
    Marko Durasevic
    ,
    Mateja Dumic
    ,
    Francisco Javier Gil Gala
    ,
    Nikolina Frid
    ,
    Domagoj Jakobovic
  37. 48
    Influence Maximization in Hypergraphs Using Multi-Objective Evolutionary Algorithms
    Stefano Genetti
    ,
    Eros Ribaga
    ,
    Elia Cunegatti
    ,
    Quintino F. Lotito
    ,
    Giovanni Iacca
  38. 49
    Innovization for Route Planning Applied to an Uber Movement Speeds Dataset for Berlin
    Eva Röper
    ,
    Jens Weise
    ,
    Christoph Steup
    ,
    Sanaz Mostaghim