| 2024 | 2-Step Evolutionary Algorithm for the generation of dungeons with lock door missions using horizontal symmetry. Felipe Dumont, María Cristina Riff |
| 2024 | A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. Benjamin Doerr, Joshua D. Knowles, Aneta Neumann, Frank Neumann |
| 2024 | A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax. Denis Antipov, Aneta Neumann, Frank Neumann |
| 2024 | A Differential Pheromone Grouping Ant Colony Optimization Algorithm for the 1-D Bin Packing Problem. Aseel Ismael Ali, Edward C. Keedwell, Ayah Helal |
| 2024 | A Flexible Evolutionary Algorithm with Dynamic Mutation Rate Archive. Martin S. Krejca, Carsten Witt |
| 2024 | A Functional Analysis Approach to Symbolic Regression. Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova |
| 2024 | A Phenotypic Learning Classifier System for Problems with Continuous Features. Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng |
| 2024 | A Runtime Analysis of Bias-invariant Neuroevolution and Dynamic Fitness Evaluation. Paul Fischer, John Alasdair Warwicker, Carsten Witt |
| 2024 | A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task. Eduardo Bouhid Neto, Fábio Augusto Faria, Amanda de Almeida Sales De Oliveira, Álvaro Luiz Fazenda |
| 2024 | A Self-adaptive Coevolutionary Algorithm. Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre |
| 2024 | A Self-adaptive Rotationally Invariant Particle Swarm Optimization for Global Optimization. Ting Dong, Haoxin Wang, Wenbo Ding, Libao Shi |
| 2024 | A Systematic Exploration of Evolutionary Computation for the Design of Hardware-oriented Non-cryptographic Hash Functions. Mujtaba Hassan, Jo Vliegen, Stjepan Picek, Nele Mentens |
| 2024 | A Tight Andre Opris, Johannes Lengler, Dirk Sudholt |
| 2024 | Accelerate Evolution Strategy by Proximal Policy Optimization. Tao Xu, Hongyang Chen, Jun He |
| 2024 | Adaptive Aggregative Multitask Competitive Particle Swarm Optimization with Bi-Directional Asymmetric Flip Strategy for High-Dimensional Feature Selection. Yong Zhang, Ke-Jing Du, Yi Jiang, Li-Min Wang, Hua Wang, Zhi-Hui Zhan |
| 2024 | Already Moderate Population Sizes Provably Yield Strong Robustness to Noise. Denis Antipov, Benjamin Doerr, Alexandra Ivanova |
| 2024 | An Adaptive Interactive Routing-Packing Strategy for Split Delivery Vehicle Routing Problem with 3D Loading Constraints. Han Zhang, Qing Li, Xin Yao |
| 2024 | An Extension of STNWeb Functionality: On the Use of Hierarchical Agglomerative Clustering as an Advanced Search Space Partitioning Strategy. Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa |
| 2024 | An Order-aware Adaptive Iterative Local Search Metaheuristic for Multi-depot UAV Pickup and Delivery Problem. Xiang-Ling Chen, Xiao-Cheng Liao, Feng-Feng Wei, Wei-Neng Chen |
| 2024 | An Updated Performance Metric for Preference-Based Evolutionary Multi-Objective Optimization Algorithms. Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2024 | Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | Applying a Quantum Annealer to the Traffic Assignment Problem. Darren M. Chitty, James Charles, Alberto Moraglio, Ed Keedwell |
| 2024 | Approximating Pareto Local Optimal Solution Networks. Shoichiro Tanaka, Gabriela Ochoa, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato |
| 2024 | Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong |
| 2024 | Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization. Ryoji Tanabe |
| 2024 | Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa |
| 2024 | CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. Roman Kalkreuth, Thomas Bäck |
| 2024 | CMA-ES for Safe Optimization. Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa |
| 2024 | CMA-ES with Adaptive Reevaluation for Multiplicative Noise. Kento Uchida, Kenta Nishihara, Shinichi Shirakawa |
| 2024 | CatCMA : Stochastic Optimization for Mixed-Category Problems. Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa |
| 2024 | Classical Thermodynamics-based Parallel Annealing Algorithm for High-speed and Robust Combinatorial Optimization. Kyo Kuroki, Satoru Jimbo, Thiem Van Chu, Masato Motomura, Kazushi Kawamura |
| 2024 | Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao |
| 2024 | Coevolution in Natural and Artificial Systems. Una-May O'Reilly |
| 2024 | Cooperative Coevolutionary Spatial Topologies for Autoencoder Training. Erik Hemberg, Una-May O'Reilly, Jamal Toutouh |
| 2024 | Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark. Akinola Ogunsemi, John A. W. McCall, Alexandru-Ciprian Zavoianu, Lee A. Christie |
| 2024 | Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification. Fábio Augusto Faria, Luiz Henrique Buris, Luís Augusto Martins Pereira, Fabio Augusto Menocci Cappabianco |
| 2024 | Deep Neural Crossover: A Multi-Parent Operator That Leverages Gene Correlations. Eliad Shem Tov, Achiya Elyasaf |
| 2024 | Density Descent for Diversity Optimization. David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis |
| 2024 | Differential Evolution Based on Light-Weight-Surrogate for Solving High-Dimensional Energy Management Problem. Chixin Xiao, Maoxin He, Dechen Jiang, Yiwei Zhang, Yuxin Tang, Zhenyu Ling |
| 2024 | Direct Augmented Lagrangian Evolution Strategies. Jeremy Porter, Dirk V. Arnold |
| 2024 | Distance-Targeting Mutation Operator for Evolutionary Design of 3D Structures. Maciej Komosinski, Agnieszka Mensfelt |
| 2024 | EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation. Jiahong Wei, Bing Xue, Mengjie Zhang |
| 2024 | Effective 2- and 3-Objective MOEA/D Approaches for the Chance Constrained Knapsack Problem. Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann |
| 2024 | Effective Adaptive Mutation Rates for Program Synthesis. Andrew Ni, Lee Spector |
| 2024 | Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search. Quan Minh Phan, Ngoc Hoang Luong |
| 2024 | Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search. An Vo, Ngoc Hoang Luong |
| 2024 | Emergent Behavior in Evolutionary Swarms for Machine Olfaction. Kordel K. France, Anirban Paul, Ivneet Banga, Shalini Prasad |
| 2024 | Empirical Comparison between MOEAs and Local Search on Multi-Objective Combinatorial Optimisation Problems. Miqing Li, Xiaofeng Han, Xiaochen Chu, Zimin Liang |
| 2024 | Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach. Mathew Falloon, Hui Ma, Aaron Chen |
| 2024 | Enhancing Algorithm Performance Prediction in Constrained Multiobjective Optimization Using Additional Training Problems. Andrejaana Andova, Jordan N. Cork, Tea Tusar, Bogdan Filipic |
| 2024 | Enhancing MAP-Elites with Multiple Parallel Evolution Strategies. Manon Flageat, Bryan Lim, Antoine Cully |
| 2024 | Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | Evolutionary Computation Meets Graph Drawing: Runtime Analysis for Crossing Minimisation on Layered Graph Drawings. Jakob Baumann, Ignaz Rutter, Dirk Sudholt |
| 2024 | Evolutionary Diversity Optimisation for Sparse Directed Communication Networks. Sharlotte Gounder, Frank Neumann, Aneta Neumann |
| 2024 | Evolutionary Exploration of Triply Periodic Minimal Surfaces via Quality Diversity. Jordan T. Bishop, Jason Jooste, David Howard |
| 2024 | Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams. Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon |
| 2024 | Evolutionary Multitasking with Two-level Knowledge Transfer for Multi-view Point Cloud Registration. Hangqi Ding, Haoran Xu, Yue Wu, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao, Jiao Shi, Yu Lei |
| 2024 | Evolutionary Preference Sampling for Pareto Set Learning. Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks. Amanda Bertschinger, James P. Bagrow, Joshua Clifford Bongard |
| 2024 | Evolving Generalist Controllers to Handle a Wide Range of Morphological Variations. Corinna Triebold, Anil Yaman |
| 2024 | Evolving Hierarchical Neural Cellular Automata. Kameron Bielawski, Nate Gaylinn, Cameron Lunn, Kevin Motia, Joshua Clifford Bongard |
| 2024 | Evolving Loss Functions for Specific Image Augmentation Techniques. Brandon Morgan, Dean Hougen |
| 2024 | Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. Yingfang Yuan, Wenjun Wang, Xin Li, Kefan Chen, Yonghan Zhang, Wei Pang |
| 2024 | Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann |
| 2024 | Exploring the Prompt Space of Large Language Models through Evolutionary Sampling. Martina Saletta, Claudio Ferretti |
| 2024 | Extending Pareto Dominance for Multi-Constraints Satisfaction and Multi-Performance Enhancement in Constrained Multi-Objective Optimization. Fan Yu, Qun Chen, Jinlong Zhou |
| 2024 | Facilitating Function Application in Code Building Genetic Programming. Thomas Helmuth, Jayden Fedoroff, Edward R. Pantridge, Lee Spector |
| 2024 | Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2024 | Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing. Yong-Feng Ge, Hua Wang, Jinli Cao, Yanchun Zhang, Georgios Kambourakis |
| 2024 | Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection. Xin-Yu Wang, Qi-Te Yang, Yi Jiang, Kay Chen Tan, Jun Zhang, Zhi-Hui Zhan |
| 2024 | Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA. Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman |
| 2024 | Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. Evi Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten |
| 2024 | GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA. Zhenyu Liang, Tao Jiang, Kebin Sun, Ran Cheng |
| 2024 | GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies. Jonathan Wurth, Helena Stegherr, Michael Heider, Jörg Hähner |
| 2024 | Generalised Kruskal Mutation for the Multi-Objective Minimum Spanning Tree Problem. Jakob Bossek, Christian Grimme |
| 2024 | Generative AI: why all the fuss? Toby Walsh |
| 2024 | Generative Design through Quality-Diversity Data Synthesis and Language Models. Adam Gaier, James Stoddart, Lorenzo Villaggi, Shyam Sudhakaran |
| 2024 | Genetic Algorithm Selection of Interacting Features (GASIF) for Selecting Biological Gene-Gene Interactions. Rachit Kumar, David Zhang, Marylyn DeRiggi Ritchie |
| 2024 | Genetic Meta Cipher. Aline Hufschmitt, Patrice Parraud |
| 2024 | Genetic Programming Empowered Feature Construction towards Energy Efficient BVI Wearables. Peijie Xu, Andy Song, Ke Wang |
| 2024 | Genetic-based Constraint Programming for Resource Constrained Job Scheduling. Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang |
| 2024 | Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions. Marcus Schmidbauer, Andre Opris, Jakob Bossek, Frank Neumann, Dirk Sudholt |
| 2024 | Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis. Duc-Cuong Dang, Andre Opris, Dirk Sudholt |
| 2024 | Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke |
| 2024 | Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples. Quentin Renau, Emma Hart |
| 2024 | Improving the efficiency of GP-GOMEA for higher-arity operators. Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman |
| 2024 | Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing. Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França, William G. La Cava |
| 2024 | Influence Based Fitness Shaping for Coevolutionary Agents. Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer |
| 2024 | Informed Diversity Search for Learning in Asymmetric Multiagent Systems. Gaurav Dixit, Kagan Tumer |
| 2024 | Innovation Path: Discovering an Ordered Set of Optimized Intermediate Solutions from an Existing to a Desired Solution. Ahmer Khan, Kalyanmoy Deb |
| 2024 | Integrating Diverse Evolutionary Patterns of Collective Animal Behaviours into a Unified Selfish Herd Model. Wen-Chi Yang |
| 2024 | Interactive Evolutionary Multiobjective Optimization of Primer Design with Uncertain Objectives. Atanu Mazumdar, Bhavya Jain, Monisha Mitra, Prodyut Dhar |
| 2024 | LLM Guided Evolution - The Automation of Models Advancing Models. Clint Morris, Michael Jurado, Jason Zutty |
| 2024 | LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn |
| 2024 | Lamarckian Co-design of Soft Robots via Transfer Learning. Kazuaki Harada, Hitoshi Iba |
| 2024 | Large Language Model-based Test Case Generation for GP Agents. Steven Jorgensen, Giorgia Nadizar, Gloria Pietropolli, Luca Manzoni, Eric Medvet, Una-May O'Reilly, Erik Hemberg |
| 2024 | Large Language Models for the Automated Analysis of Optimization Algorithms. Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa |
| 2024 | Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck |
| 2024 | Late Bloomers, First Glances, Second Chances: Exploration of the Mechanisms Behind Fitness Diversity. Sofya Aksenyuk, Szymon Bujowski, Maciej Komosinski, Konrad Miazga |
| 2024 | Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative Coevolution. Joshua Cook, Kagan Tumer |
| 2024 | Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart |
| 2024 | Learning Traffic Signal Control via Genetic Programming. Xiao-Cheng Liao, Yi Mei, Mengjie Zhang |
| 2024 | Learning from Evolution: Improving Collective Decision-Making Mechanisms using Insights from Evolutionary Robotics. Tanja Katharina Kaiser |
| 2024 | Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. Jiyuan Pei, Jialin Liu, Yi Mei |
| 2024 | Lessons from curiosity-driven physics research. Suzie Sheehy |
| 2024 | Letting a Large Neighborhood Search for an Electric Dial-A-Ride Problem Fly: On-The-Fly Charging Station Insertion. Maria Bresich, Günther R. Raidl, Steffen Limmer |
| 2024 | Machine Learning-Enhanced Ant Colony Optimization for Column Generation. Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li |
| 2024 | Markov Chain-based Optimization Time Analysis of Bivalent Ant Colony Optimization for Sorting and LeadingOnes. Matthias Kergaßner, Oliver Keszöcze, Rolf Wanka |
| 2024 | MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression. Kei Sen Fong, Mehul Motani |
| 2024 | Minimum variance threshold for epsilon-lexicase selection. Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França, William G. La Cava |
| 2024 | Mixed Binomial Distributions for Binary Mutation Operators. Brahim Aboutaib, Andrew M. Sutton |
| 2024 | Mixed-Variable Correlation-Aware Metaheuristic for Deployment Optimization of 3-D Sensor Networks. Tongyu Wu, Yuntian Zhang, Changhao Miao, Chen Chen, Shuxin Ding |
| 2024 | Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem. Kokila Kasuni Perera, Aneta Neumann |
| 2024 | Multi-Objective Evolutionary Hindsight Experience Replay for Robot Manipulation Tasks. Erdi Sayar, Giovanni Iacca, Alois Knoll |
| 2024 | Multi-Objective Optimization for Large-scale Allocation of Soybean Crops. Mathilde Chen, David Makowski, Alberto Tonda |
| 2024 | Multi-Objective Quality-Diversity for Crystal Structure Prediction. Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully |
| 2024 | Multi-objective evolutionary GAN for tabular data synthesis. Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot |
| 2024 | Multiview Symbolic Regression. Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler |
| 2024 | NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks. Leonardo Lucio Custode, Ivanoe De Falco, Antonio Della Cioppa, Giovanni Iacca, Umberto Scafuri |
| 2024 | Nature-inspired Preference Learning Algorithms Using the Choquet Integral. Michal Wójcik, Milosz Kadzinski |
| 2024 | Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution. Brandon Morgan, Dean Hougen |
| 2024 | Neuron-centric Hebbian Learning. Andrea Ferigo, Elia Cunegatti, Giovanni Iacca |
| 2024 | New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis |
| 2024 | On the Investigation of Multimodal Evolutionary Algorithms Using Search Trajectory Networks. Thai Bao Tran, Ngoc Hoang Luong |
| 2024 | On the Nature of the Phenotype in Tree Genetic Programming. Wolfgang Banzhaf, Illya Bakurov |
| 2024 | On the Performance of User Association in Space-Ground Communications with Integer-Coded Genetic Algorithms. Trinh Van Chien, Ngo Tran Anh Thu, Lam Nguyen, Nguyen Binh, Huynh Thi Thanh Binh |
| 2024 | On the robustness of lexicase selection to contradictory objectives. Shakiba Shahbandegan, Emily L. Dolson |
| 2024 | Optimization through Iterative Smooth Morphological Transformations. Valentino Santucci, Marco Baioletti, Marco Tomassini |
| 2024 | Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys. Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen |
| 2024 | Optimizing Electric Vehicle Charging Station Placement Integrating Daily Mobility Patterns and Residential Locations. Christian Cintrano, Jamal Toutouh, Sergio Nesmachnow |
| 2024 | Optimizing a Car Patrolling Application by Iterated Local Search. Victor Hugo Vidigal Corrêa, Thiago Alves de Queiroz, Manuel Iori, André Gustavo dos Santos, Mutsunori Yagiura, Giorgio Zucchi |
| 2024 | Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems. Marcin Michal Komarnicki, Michal Witold Przewozniczek, Renato Tinós, Xiaodong Li |
| 2024 | Parametric-Task MAP-Elites. Timothée Anne, Jean-Baptiste Mouret |
| 2024 | Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | Pixel Logo Attack: Embedding Attacks as Logo-Like Pixels. Jiang Zhu, Hong Zhao, He Yu, Jing Liu |
| 2024 | Plus Strategies are Exponentially Slower for Planted Optima of Random Height. Johannes Lengler, Leon Schiller, Oliver Sieberling |
| 2024 | Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024 Xiaodong Li, Julia Handl |
| 2024 | Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems. Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan |
| 2024 | Quality Diversity Approaches for Time-Use Optimisation to Improve Health Outcomes. Adel Nikfarjam, Ty Stanford, Aneta Neumann, Dorothea Dumuid, Frank Neumann |
| 2024 | Quality with Just Enough Diversity in Evolutionary Policy Search. Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis Wilson, Antoine Cully |
| 2024 | RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong |
| 2024 | Redesigning road infrastructure to integrate e-scooter micromobility as part of multimodal transportation. Diego Daniel Pedroza-Perez, Jamal Toutouh, Gabriel Luque |
| 2024 | Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds. Longfei Felix Yan, Hui Ma, Gang Chen |
| 2024 | Reinforcing Inter-Class Dependencies in the Asymmetric Island Model. Andrew Festa, Gaurav Dixit, Kagan Tumer |
| 2024 | Run Time Bounds for Integer-Valued OneMax Functions. Jonathan Gadea Harder, Timo Kötzing, Xiaoyue Li, Aishwarya Radhakrishnan, Janosch Ruff |
| 2024 | Runtime Analyses of NSGA-III on Many-Objective Problems. Andre Opris, Duc-Cuong Dang, Frank Neumann, Dirk Sudholt |
| 2024 | Runtime Analysis of Coevolutionary Algorithms on a Class of Symmetric Zero-Sum Games. Alistair Benford, Per Kristian Lehre |
| 2024 | Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem. Zeqiong Lv, Chao Bian, Chao Qian, Yanan Sun |
| 2024 | SDDObench: A Benchmark for Streaming Data-Driven Optimization with Concept Drift. Yuanting Zhong, Xincan Wang, Yuhong Sun, Yue-Jiao Gong |
| 2024 | Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems. Xiankun Yan, Aneta Neumann, Frank Neumann |
| 2024 | Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications. Deyun Lyu, Zhenya Zhang, Paolo Arcaini, Fuyuki Ishikawa, Thomas Laurent, Jianjun Zhao |
| 2024 | Search-based Crash Reproduction for Android Apps. Michael Auer, Dominik Diner, Gordon Fraser |
| 2024 | Searching for a Diversity of Interpretable Graph Control Policies. Giorgia Nadizar, Eric Medvet, Dennis Wilson |
| 2024 | Semantically Rich Local Dataset Generation for Explainable AI in Genomics. Pedro Barbosa, Rosina Savisaar, Alcides Fonseca |
| 2024 | Sign Change Detection based Fitness Evaluation for Automatic Implicit Equation Discovery. Jiahao Wen, Junlan Dong, Jinghui Zhong |
| 2024 | Sign-Averaging Covariance Matrix Adaptation Evolution Strategy. Daiki Morinaga, Youhei Akimoto |
| 2024 | Socialz: Multi-Feature Social Fuzz Testing. Francisco Zanartu, Christoph Treude, Markus Wagner |
| 2024 | Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents. Joachim Winther Pedersen, Erwan Plantec, Eleni Nisioti, Milton Montero, Sebastian Risi |
| 2024 | Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics. Benjamin Doerr, Martin S. Krejca, Nguyen Vu |
| 2024 | Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis. Alexa A. Woodward, Harsh Bandhey, Jason H. Moore, Ryan J. Urbanowicz |
| 2024 | THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search. Hai Tran Thanh, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh |
| 2024 | Tasks Scheduling with Load Balancing in Fog Computing: a Bi-level Multi-Objective Optimization Approach. Najwa Kouka, Vincenzo Piuri, Pierangela Samarati |
| 2024 | Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman |
| 2024 | Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration. Lishuang Wang, Mengfei Zhao, Enyu Liu, Kebin Sun, Ran Cheng |
| 2024 | The Chance Constrained Travelling Thief Problem: Problem Formulations and Algorithms. Thilina Pathirage Don, Aneta Neumann, Frank Neumann |
| 2024 | The Electric Vehicle Problem with Road Junctions and Road Types: An Ant Colony Optimization Approach. Mehmet Anil Akbay, Christian Blum, Michella Saliba |
| 2024 | The Lunar Lander Landing Site Selection Benchmark Reexamined: Problem Characterization and Algorithm Performance. Aljosa Vodopija, Jordan N. Cork, Bogdan Filipic |
| 2024 | The Role of the Substrate in CA-based Evolutionary Algorithms. Gloria Pietropolli, Stefano Nichele, Eric Medvet |
| 2024 | The SLO Hierarchy of pseudo-Boolean Functions and Runtime of Evolutionary Algorithms. Duc-Cuong Dang, Per Kristian Lehre |
| 2024 | Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation. Alican Mertan, Nick Cheney |
| 2024 | Transfer Learning of Surrogate Models via Domain Affine Transformation. Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang |
| 2024 | Transfer Search Directions Among Decomposed Subtasks for Evolutionary Multitasking in Multiobjective Optimization. Yanchi Li, Wenyin Gong, Qiong Gu |
| 2024 | Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks. Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan |
| 2024 | Understanding Search Trajectories in Parameter Tuning. María Riveros, Nicolás Rojas-Morales, Elizabeth Montero, Gabriela Ochoa |
| 2024 | User-Preference Based Evolutionary Algorithms for Solving Multi-Objective Nonlinear Minimum Cost Flow Problems. Behrooz Ghasemishabankareh, Xiaodong Li, Melih Ozlen |
| 2024 | Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem. Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann |
| 2024 | Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer |
| 2024 | Using Genetic Algorithms for Privacy-Preserving Optimization of Multi-Objective Assignment Problems in Time-Critical Settings: An Application in Air Traffic Flow Management. Sebastian Gruber, Paul Feichtenschlager, Christoph G. Schuetz |
| 2024 | What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck |