{"id":672,"date":"2025-03-08T12:45:49","date_gmt":"2025-03-08T11:45:49","guid":{"rendered":"https:\/\/www.evostar.org\/2026\/?page_id=672"},"modified":"2026-02-09T13:22:19","modified_gmt":"2026-02-09T12:22:19","slug":"evoapplications-accepted-papers","status":"publish","type":"page","link":"https:\/\/www.evostar.org\/2026\/evoapplications-accepted-papers\/","title":{"rendered":"EvoApplications Accepted Papers"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Long talks<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence<br><em>Daniele Maria Papetti, Marco S. Nobile, Matteo Grazioso, Paolo Cazzaniga, Leonardo Vanneschi and Daniela Besozzi<\/em><\/li>\n\n\n\n<li>Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control<br><em>Stefano Genetti, Enrico Micheli, Leonardo Lucio Custode and Giovanni Iacca<\/em><\/li>\n\n\n\n<li>CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem<br><em>Tam Nguyen<\/em><\/li>\n\n\n\n<li>Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model<br><em>Behzad Moradi, Mario Andr\u00e9 Mu\u00f1oz and Michael Kirley<\/em><\/li>\n\n\n\n<li>Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover<br><em>Shanxian Lin, Yuichi Nagata, Haichuan Yang and Wei Xia<\/em><\/li>\n\n\n\n<li>Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning<br><em>Erik Nielsen, Alessandro Lorenzi and Giovanni Iacca<\/em><\/li>\n\n\n\n<li>Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks<br><em>Renan Beran Kilic, Kasim Sinan Yildirim and Giovanni Iacca<\/em><\/li>\n\n\n\n<li>Tripping Over The Past: Measuring Deceptive Progress in Competitive Coevolutionary Algorithms Employing Hall of Fame<br><em>Deacon Seals and Daniel Tauritz<\/em><\/li>\n\n\n\n<li>Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution<br><em>Javier Galvis-Chacon, Luis A. Beltran, Omar Alvarez, Diego Oliva, Itzel Aranguren, Arturo Valdivia-G, Mario A. Navarro and Seyed Jalaleddin Mousavirad<\/em><\/li>\n\n\n\n<li>EvoTADASHI: Genetic Programming for High-Performance Code Optimization<br><em>Jo\u00e3o Eduardo Batista, Emil Vatai, Aleksandr Drozd and Mohamed Wahib<\/em><\/li>\n\n\n\n<li>Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction<br><em>Emanuele Nardone, Claudio De Stefano, Alessandra Scotto di Freca, Francesco Fontanella and Tiziana D&#8217;Alessandro<\/em><\/li>\n\n\n\n<li>Expensive Evolutionary Computation: Where are we, and what\u2019s next?<br><em>Denis Pallez<\/em><\/li>\n\n\n\n<li>On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata<br><em>Karel Fritz and Michal Bidlo<\/em><\/li>\n\n\n\n<li>The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI<br><em>Michael Palk, Stefan Voss and Fred Glover<\/em><\/li>\n\n\n\n<li>Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness<br><em>Soumen Atta and Michael Emmerich<\/em><\/li>\n\n\n\n<li>A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem<br><em>Guilherme Nakahata, Florian Richoux, Daan van den Berg and Claus Aranha<\/em><\/li>\n\n\n\n<li>Structure-Aware Penalty Weights Scaling for Quadratic Unconstrained Binary Optimization Formulation<br><em>Jiajie Liu and Alberto Moraglio<\/em><\/li>\n\n\n\n<li>Cost-Efficient Charging Station Deployment for Electric Bus Fleets<br><em>C\u00e9sar David Loaiza Quintana, Laura Climent, Christian P\u00e9rez and Alejandro Arbelaez<\/em><\/li>\n\n\n\n<li>PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization<br><em>Kanchan Rajwar, Nelishia Pillay and Thambo Nyathi<\/em><\/li>\n\n\n\n<li>Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search<br><em>Thomas B\u00f6mer, Nico Koltermann, Max Disselnmeyer, Bastian Amberg and Anne Meyer<\/em><\/li>\n\n\n\n<li>Novel Explainable Graph\u2013Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images<br><em>Pinar Karadayi Atas and Amar Halilovic<\/em><\/li>\n\n\n\n<li>Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights<br><em>Jed Muff, Keiichi Ito, Karine Miras, Elijah Ang and Agosten Eiben<\/em><\/li>\n\n\n\n<li>Exploring the impact of fairness-aware criteria in AutoML<br><em>Joana Sim\u00f5es and Jo\u00e3o Correia<\/em><\/li>\n\n\n\n<li>A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \\textit{Tales of Tribute} videogame<br><em>Francisco David Castej\u00f3n-Soto, Jj Merelo and Pablo Garc\u00eda-S\u00e1nchez<\/em><\/li>\n\n\n\n<li>Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing<br><em>Juan Luis Jim\u00e9nez Laredo, Juan Juli\u00e1n Merelo Guerv\u00f3s, Paulin H\u00e9leine and Damien Olivier<\/em><\/li>\n\n\n\n<li>Genetic Programming for Energy-Efficient Device\u2013Edge Collaborative Inference<br><em>Shruti Lall and Nelishia Pillay<\/em><\/li>\n\n\n\n<li>Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study<br><em>Jelle Westra, Ivan Olarte Rodriguez, Niki van Stein, Thomas B\u00e4ck and Elena Raponi<\/em><\/li>\n\n\n\n<li>Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism<br><em>Nikhil Yn and Abhay Bhandarkar<\/em><\/li>\n\n\n\n<li>Quantifying Dota 2 Invoker Agent Spell Casting Behaviours<br><em>Robert Smith and Malcolm Heywood<\/em><\/li>\n\n\n\n<li>Evolutionary Design of Specialized Image Compression Operators<br><em>Luk\u00e1\u0161 Pleva\u010d and Zden\u011bk Va\u0161\u00ed\u010dek<\/em><\/li>\n\n\n\n<li>ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models<br><em>Onkar Shelar and Travis Desell<\/em><\/li>\n\n\n\n<li>Adaptive Curriculum Learning in Genetic Programming\u2013Guided Local Search for Large-Scale Vehicle Routing Problems<br><em>Saining Liu, Yi Mei and Mengjie Zhang<\/em><\/li>\n\n\n\n<li>Evolutionary approach for sewer network design under the condominial model<br><em>Renzo Massobrio, Sergio Nesmachnow, Jamal Toutouh and Sergio P\u00e9rez<\/em><\/li>\n\n\n\n<li>Benchmarking that Matters: Rethinking Benchmarking for Practical Impact<br><em>Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas B\u00e4ck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Sch\u00e4permeier, Diederick Vermetten and Daniela Zaharie<\/em><\/li>\n\n\n\n<li>From Performance to Understanding: A Vision for Explainable Automated Algorithm Design<br><em>Niki van Stein, Anna V. Kononova and Thomas Baeck<\/em><\/li>\n\n\n\n<li>FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios<br><em>Elia Pacioni, C\u00e9lien Muller, Francisco Fern\u00e1ndez De Vega and Davide Calvaresi<\/em><\/li>\n\n\n\n<li>Optimizing Tourist Trip Design for Urban Sustainability<br><em>Marco Baioletti, Fabrizio Fagiolo and Valentino Santucci<\/em><\/li>\n\n\n\n<li>Novel Particle Swarm Optimization for High-Dimensional Problems<br><em>So Fukuhara and Masao Arakawa<\/em><\/li>\n\n\n\n<li>Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs<br><em>Pedro Augusto Torres Bento, Arthur Buzelin Galery, Yan Aquino Amorim, Arthur Rodrigues Chagas, Wagner Meira Jr. and Gisele Lobo Pappa<\/em><\/li>\n\n\n\n<li>Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization<br><em>Madalina-Andreea Mitran and Mihai-Lucian Ene<\/em><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Short talks<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Learning to Search: A Reinforcement Learning Agent for Global Optimization<br><em>Boukthir Haddar, Mohamed Ali Elleuch and Chedli Damak<\/em><\/li>\n\n\n\n<li>CLIP Prompt Optimization with Evolutionary-Driven LLMs<br><em>Andrea Ceron, Ivan Don\u00e0 and Giovanni Iacca<\/em><\/li>\n\n\n\n<li>A Reinforcement Learning\u2013Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism<br><em>Jayprakash S. Nair, Jimson Mathew and Shivashankar B. Nair<\/em><\/li>\n\n\n\n<li>Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices<br><em>Ahmad Tashfeen and Qi Cheng<\/em><\/li>\n\n\n\n<li>TensorRankNEAT: Speeding up Preference Learning in Neuroevolution via Tensorization<br><em>William Gjerberg Tresselt and Ole Jakob Mengshoel<\/em><\/li>\n\n\n\n<li>Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots<br><em>Emiliano Rossi, Erik Nielsen and Giovanni Iacca<\/em><\/li>\n\n\n\n<li>Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection<br><em>Taran Cyriac John, Giovanni Iacca, Qurrat Ul Ain, Harith Al-Sahaf and Mengjie Zhang<\/em><\/li>\n\n\n\n<li>On the impact of conditional distribution in discovered differential equation ensembles<br><em>Xeniya Bashkova and Alexander Hvatov<\/em><\/li>\n\n\n\n<li>Data-driven Learning for the Nurse Scheduling Problem<br><em>Aymen Ben Said and Malek Mouhoub<\/em><\/li>\n\n\n\n<li>Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience<br><em>Giorgio Mongardi, Giovanni Squillero, Alberto Tonda, Evelyne Lutton, Raffaele Correale and Raffaella Todino<\/em><\/li>\n\n\n\n<li>From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System<br><em>Shanshan Mao and Peter Tino<\/em><\/li>\n\n\n\n<li>On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach<br><em>Claude Carlet, Marko \u0110urasevi\u0107, Domagoj Jakobovic, Luca Mariot, Stjepan Picek and Alexandr Polujan<\/em><\/li>\n\n\n\n<li>Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human\u2013Computer Interaction<br><em>Joao Martin-Saquet, Adrien Dorise, Edouard Villain, Vinicius Beltram Tegolina, St\u00e9phane Sanchez and David Panzoli<\/em><\/li>\n\n\n\n<li>Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators<br><em>David Nepras and Lukas Sekanina<\/em><\/li>\n\n\n\n<li>Scheduling Electric Vehicle Charging to Minimize Total Tardiness<br><em>Wissal Iarochen, Mustapha Oudani, Ammar Oulamara and Mohamed Ouzineb<\/em><\/li>\n\n\n\n<li>Multi-Objective Optimization for Synthetic-to-Real Style Transfer<br><em>Estelle Chigot, Thomas Oberlin, Manon Huguenin and Dennis Wilson<\/em><\/li>\n\n\n\n<li>A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling<br><em>Bernt Moritz Schmid Olsen and Kazi Shah Nawaz Ripon<\/em><\/li>\n\n\n\n<li>LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties<br><em>Urban Skvorc, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas B\u00e4ck and Heike Trautmann<\/em><\/li>\n\n\n\n<li>Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling\u00a0Case\u00a0Study<br><em>Laura-Maria Cornei and Mihaela-Elena Breab\u0103n<\/em><\/li>\n\n\n\n<li>Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks<br><em>Andr\u00e9s Bueno-Crespo, Ana Ortiz-Gonz\u00e1lez, Jos\u00e9 Mart\u00ednez-M\u00e1s and Carlos Cotta<\/em><\/li>\n\n\n\n<li>Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks<br><em>C\u00f4me Frapp\u00e9-Vialatoux and Pierre Parrend<\/em><\/li>\n\n\n\n<li>A Sociotechnical Perspective on the Evolutionary Computation Ecosystem<br><em>Shunmuga Velayutham C, Bagavathi Chandrasekara, Dhanya M Dhanalakshmy, Jeyakumar Gurusamy, Ritwik Murali and Thangavelu S<\/em><\/li>\n\n\n\n<li>Optimizing Transformers: Metaheuristics for Head Attention Pruning<br><em>Pedro Ferreira, Carlos Henggeler Antunes, Jorge Batista and Telmo Pinto<\/em><\/li>\n\n\n\n<li>Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators<br><em>David Sedl\u00e1k, Jan Klhufek and Vojtech Mrazek<\/em><\/li>\n\n\n\n<li>Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases<br><em>Abhishek Singh, Zimeng Lyu and Travis Desell<\/em><\/li>\n\n\n\n<li>Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming<br><em>Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov and Petros Koumoutsakos<\/em><\/li>\n\n\n\n<li>Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability<br><em>Berfin Sakallioglu, Frederico J.J.B. Santos, Daniel Parra, Yuxin Qiu, Miguel Nicolau, Leonardo Trujillo and J. Ignacio Hidalgo<\/em><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Long talks Short talks<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-672","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.evostar.org\/2026\/wp-json\/wp\/v2\/pages\/672","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.evostar.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.evostar.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2026\/wp-json\/wp\/v2\/comments?post=672"}],"version-history":[{"count":17,"href":"https:\/\/www.evostar.org\/2026\/wp-json\/wp\/v2\/pages\/672\/revisions"}],"predecessor-version":[{"id":1284,"href":"https:\/\/www.evostar.org\/2026\/wp-json\/wp\/v2\/pages\/672\/revisions\/1284"}],"wp:attachment":[{"href":"https:\/\/www.evostar.org\/2026\/wp-json\/wp\/v2\/media?parent=672"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}