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GECCO 2025

A

Genetic and Evolutionary Computation Conference

Official site ↗
599
accepted papers
539
authors
July 14-18, 2025
dates
Spain (hybrid)
location

599 / 599 papers

  1. 1
    A Better Multi-Objective GP-GOMEA - But do we Need it?
    Joe Harrison
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  2. 2
    A bi-objective Medical Sampling Service System
    Hue Thi Tran
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  3. 3
    A Comparison and Analysis of LLM Agents within the Context of An LLM-Guided Evolution for Object Detection
    YiMing Yu
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  4. 4
    A Comparison of Dimensionality Reduction Techniques for Visualising Search Behaviour
    Helena Stegherr
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  5. 5
    A comparison of tournament and lexicase selection paradigms in regression problems: error-based fitness versus correlation fitness
    Illya Bakurov
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  6. 6
    A Constrained Multi-objective Co-Evolutionary Algorithm Based on Operator Score and Reward
    Kangshun Li
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  7. 7
    A Continuation Method Based on CMA-ES
    Hoang Nguyen Vu
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  8. 8
    A customized MOEA/D with active element pattern surrogate model for direction finding array design
    Hanhua Zou
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  9. 9
    A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing
    Guilherme Barbosa
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  10. 10
    A Dynamic Constrained Multiobjective Evolutionary Algorithm based on Convergence Path Interpolation
    Guangyuan Sui
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  11. 11
    A Framework for Automatically Setting Multiple Penalty Weights in Quadratic Unconstrained Binary Optimization
    Jiajie Liu
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  12. 12
    A General Genetic Algorithm Using Natural Language Evolutionary Operators
    Gerhard Stenzel
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  13. 13
    A General Upper Bound for the Runtime of a Coevolutionary Algorithm on Impartial Combinatorial Games
    Alistair Benford
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  14. 14
    A Genetic Algorithm for Solving the Three-Dimensional Bin Set Selection Problem
    Leon Binder
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  15. 15
    A Genetic Algorithm Framework for Jailbreaking Large Language Models
    Lorenzo Bonin
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  16. 16
    A Genetic Ensemble Method for Correcting Maritime Wind Forecasts
    Chae-Rim Park
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  17. 17
    A Hierarchical Multiview Symbolic Regression Method for Decoding Oceanic Metabolism
    Hernan Lira
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  18. 18
    A Hybrid Constrained Programming with Genetic Algorithm for the Job Shop Scheduling Problem
    Alessandro Lorenzi
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  19. 19
    A Hyper-feasible Solutions Based Update Weight Vectors Evolutionary Algorithm for Constrained Multiobjective Optimization Problem
    Kangshun Li
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  20. 20
    A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization
    Siyu Chen
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  21. 21
    A Learning-assisted Discrete Differential Evolution for Resource Constrained Project Scheduling
    Yun Dong
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  22. 22
    A Local Search Deep Q-Network to Optimize On-Demand Tranportation Problems
    Mariem Ayari
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  23. 23
    A Many-Objective Problem Where Crossover is Provably Indispensable
    Andre Opris
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  24. 24
    A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability
    Quan Long
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  25. 25
    A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop Scheduling
    Junwei Pang
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  26. 26
    A New Framework for Visualising Diversity Properties of Pareto Front Approximations in Many-objective Optimisation
    Kai Eivind Wu
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  27. 27
    A new Hybrid Dynamic Tournament Topology Particle Swarm Optimizaton with Parameter Independence
    Piotr Dziwiñski
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  28. 28
    A Novel Decomposition-Based Algorithm for Optimizing Demand-Side Response in Dynamic Economic Emission Dispatch Considering Gridable Vehicles Management
    Hongda Guo
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  29. 29
    A Novel Mesh Deformation Methodology for Computational Aerodynamic Shape Optimisation
    Joelle Salamoun
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  30. 30
    A Novel Metaheuristic Approach to Monolith Decomposition into Microservices
    Ana C. Martínez Saucedo
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  31. 31
    A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping
    Wenjie Qiu
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  32. 32
    A Parameter Adaptive Genetic Algorithm With Restarts for Flexible Job Shop Scheduling Problems with Worker Flexibility
    David Hutter
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  33. 33
    A Path to Universal Neural Cellular Automata
    Gabriel Béna
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  34. 34
    A Path-Relinking-based Heuristic for the Multiobjective Subgraph Problem
    Daniela Scherer dos Santos
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  35. 35
    A Perturbation and Speciation-Based Algorithm for Dynamic Optimization Uninformed of Change
    Federico Signorelli
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  36. 36
    A Proposal for a Leaner Narrative of Learning Classifier Systems
    Pier Luca Lanzi
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  37. 37
    A Quality Diversity Approach to Evolving Model Rockets
    Jacob Schrum
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  38. 38
    A Royal Road Function for Permutation Spaces: an Example Where Order Crossover is Provably Essential
    Andre Opris
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  39. 39
    A Search Trajectory Networks Model to Understand irace
    Pablo Estobar
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  40. 40
    A Simple Combination of Local Search and MOEAD for Combinatorial Multi-objective Optimization
    Bilel Derbel
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  41. 41
    A Step towards Interpretable Multimodal AI Models with MultiFIX
    Mafalda Malafaia
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  42. 42
    A Study on Morphological and Behavioral Adaptations from Multi-Task Morphoevolution by Voxel-based Soft Robots
    Ashwin V. A
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  43. 43
    A Symbolic Hessian-Based Approach for Assessing Model Complexity in Symbolic Regression
    Nathan Haut
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  44. 44
    A Tabu Search Algorithm Based on Symmetry Local Search for Multi-objective Combinatorial Optimization Problems
    Tianyang Li
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  45. 45
    A Two-Stage Explanation-Based Method Using Particle Swarm Optimization for Black-Box Adversarial Attack
    Chaoxin Zhang
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  46. 46
    A Two-step Approach to Find Short Compilation Transformation Sequences for Optimal Software Runtime Performance
    Juan Carlos de la Torre
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  47. 47
    A Variational Quantum Algorithm for the Permutation Flow Shop Scheduling Problem
    Marco Baioletti
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  48. 48
    A Voxel-Representation-Based Evolutionary Data Generator of Adversarial Objects for AI Agents
    Akshay
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  49. 49
    Abnormal Mutations: Evolution Strategies Don't Require Gaussianity
    Jacob de Nobel
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  50. 50
    Accelerating Soft Robot Evolution Using N-gram-based Controller Inheritance and Genetic Co-Design
    Yue Xie
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