| 2023 | 3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization. Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan, Robert G. Reynolds |
| 2023 | A Comparative Study of Meta-Heuristic Algorithms for WSN Deployment Problem in Indoor Environments. Khaoula Zaimen, Mohamed-el-Amine Brahmia, Laurent Moalic, Abdelhafid Abouaissa, Lhassane Idoumghar |
| 2023 | A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments. Alanna McNulty, Beatrice M. Ombuki-Berman |
| 2023 | A Comparison of Evolutionary Algorithms for Training Variational Quantum Classifiers. Giovanni Acampora, Angela Chiatto, Autilia Vitiello |
| 2023 | A Competent Memetic Algorithm for Error Mitigation in Quantum Measurement. Giovanni Acampora, Autilia Vitiello |
| 2023 | A Data-Centric Approach to Parameter Tuning, an Application to Differential Evolution. Antonio Bolufé Röhler, Wangwei Han |
| 2023 | A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. Yiwen Wang, Fei Liu, Qingfu Zhang |
| 2023 | A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis. Mohammad Sadegh Khorshidi, Danial Yazdani, Jacek Mandziuk, Mohammad Reza Nikoo, Amir H. Gandomi |
| 2023 | A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning. Liam J. S. McDevitt, Kyle Robert Harrison, Beatrice M. Ombuki-Berman |
| 2023 | A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray |
| 2023 | A Historical Information Based Differential Evolution. Yifan Qin, Libao Deng, Chunlei Li, Wenyin Gong |
| 2023 | A Hybrid Evolutionary Approach with Group-Based Solution Encoding for Solving the Constrained Bilevel Multi-Depot Vehicle Routing Problem. Rocío Salinas-Guerra, Efrén Mezura-Montes, Marcela Quiroz-Castellanos, Jesús-Adolfo Mejía-de-Dios, Slim Bechikh |
| 2023 | A Hybrid Genetic Approach for Bi-Level Flexible Job Shops Arising from Selective Deconstruction. Corentin Juvigny, Julien Baste, Guillaume Lozenguez, Arnaud Doniec, Laetitia Jourdan |
| 2023 | A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control. Zheng Guo, Zhaoping Yu, Wenbin Pei, Chuan Wang, Yaqing Hou, Chenchen Zhang, Zexuan Zhu, Xianneng Li |
| 2023 | A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning. Ankur Sinha, Paritosh Pankaj |
| 2023 | A Long Short-Term Memory Prediction-Based Dynamic Multi-Objective Evolutionary Optimization Algorithm. Gejie Rang, Biao Xu, Wenji Li, Zhun Fan, Yuanping Su |
| 2023 | A Many-objective Evolutionary Algorithm Based on Hybrid Dynamic Decomposition. Chunlei Li, Libao Deng, Wenyin Gong, Liyan Qiao |
| 2023 | A Modified MOEA/D Based on Guided Search Directions for Large-scale Multiobjective Optimization. Yanhui Tang, Hui Li, Yuxiang Shui, Jianyong Sun |
| 2023 | A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization. Anastasiia Filatova, Mikhail V. Kovalchuk, Stanislav Batalenkov, Aleksander Voskresenskiy, Irina Deeva, Anna V. Kaluzhnaya, Aleksei Shpilman, Natalia Kondrashova, Maxim Dudnichenko, Denis A. Nasonov |
| 2023 | A New Infill Criterion Based on Sorting of Approximation Uncertainty for Expensive Evolutionary Many-objective Optimization. Xiaotong Liu, Chaoli Sun, Hao Wang |
| 2023 | A New Portfolio Optimization Model Considering Hybrid Trading Strategies. Shu-Yu Kuo, Yu-Chi Jiang, Yun-Ting Lai, Yao-Hsin Chou |
| 2023 | A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. Shaolong Shi, Yifan Chen, Zhaoyang Jiang, Qiang Liu, Jurong Ding, Qingfu Zhang |
| 2023 | A Novel Cooperative Co-Evolutionary Framework for Large-Scale Overlapping Problems. Mingke Chen, Wei Du |
| 2023 | A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. Bernardo Morales-Castañeda, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia, Mario A. Navarro, Alfonso Ramos-Michel, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad |
| 2023 | A Reachability-Distance Based Differential Evolution With Individual Transfer for Multimodal Optimization Problems. Hong Zhao, Xiangqian Li, Jing Liu |
| 2023 | A Sparsity-Guided Elitism Co-Evolutionary Framework for Sparse Large-Scale Multi-Objective Optimization. Chengmin Wu, Ye Tian, Yajie Zhang, Hao Jiang, Xing-yi Zhang |
| 2023 | A Subspace-Based Non-Dominated Subset Selection Method. Qingshan Tan, Changhe Li, Sanyou Zeng, Shengxiang Yang |
| 2023 | A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation. Phoenix Neale Williams, Ke Li, Geyong Min |
| 2023 | A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems. Wenji Li, Ruitao Mai, Pengxiang Ren, Zhaojun Wang, Qinchang Zhang, Ning Xu, Biao Xu, Zhun Fan, Zhifeng Hao |
| 2023 | A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. Yaqi Ti, Changhe Li, Shengxiang Yang |
| 2023 | A new solution encoding scheme for solving the Flexible Job-Shop Scheduling Problem. Juan Carlos Benjamín Somohano-Murrieta, Efrén Mezura-Montes, Marcela Quiroz-Castellanos |
| 2023 | Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. Rui Zhong, Binan Tu, Enzhi Zhang, Masaharu Munetomo |
| 2023 | Adjusting Infeasible Regions in the Constrained Multiobjective Optimization Problem. Yi-Ruei Chen, Chuan-Kang Ting |
| 2023 | An Alternative Pareto-Based Approach to Multi-Objective Neural Architecture Search. Meyssa Zouambi, Clarisse Dhaenens, Julie Jacques |
| 2023 | An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation. Dawei Zhan, Yuqian Gui, Tianrui Li |
| 2023 | An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics. Eduardo Manuel Ceja-Cruz, Adriana Menchaca-Méndez, Elizabeth Montero, Saúl Zapotecas Martínez |
| 2023 | An Efficient Multitasking Ant Colony Optimization Framework. Zhenjian Yu, Wei-Li Liu, Jinghui Zhong, Ting Huang, Xu Lu, Zhiyong Lin |
| 2023 | An Elite-Guided Evolutionary Algorithm for Large-Scale Multi-Objective Optimization. Xiangzhou Gao, Shenmin Song, Jingyi Dong |
| 2023 | An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization. Bing Wang, Hemant Kumar Singh, Tapabrata Ray |
| 2023 | An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. Mario A. Navarro, Bernardo Morales-Castañeda, Alfonso Ramos-Michel, Diego Oliva, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza |
| 2023 | An Improved Genetic Algorithm With Euclidean Geometry and Hybrid Heuristic Crossover for Traveling Salesman Problem. Bryan Zhu, Wei-Fang Xie |
| 2023 | An Improved Version of MMOEA/DC Based on Alternative Clustering Definitions. Kaoutar Senhaji, Carlos A. Coello Coello, José Antonio Lozano |
| 2023 | Application of Quantum Genetic Algorithms to Network Signal Setting Design. Giovanni Acampora, Angela Chiatto, Stefano De Luca, Roberta Di Pace, Alfredo Massa, Roberto Schiattarella, Autilia Vitiello |
| 2023 | Applying Multi-Fidelity Optimization for Process Parameter Optimization in Polymerization Process of Carbon Fiber Production. Liang Jin, Xinwei Lu, Yilin Fang, Kunlun Li |
| 2023 | Behavioural Swarm Optimisation for Stable Slung-Load Aerial Transportation. Jingyu Chen, John Oyekan |
| 2023 | Benchmark Problems on GPU: Accelerating Experiments on Metaheuristics. Leonardo Da Luz Dorneles, Mateus Boiani, Márcio Dorn |
| 2023 | Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck |
| 2023 | Block Differential Evolution. Rasa Khosrowshahli, Shahryar Rahnamayan |
| 2023 | Continual Learning of LSTM Using Ant Colony Optimization. Rikitaka Kinoyama, Nagar Anthel Venkatesh Suryanarayanan, Hitoshi Iba |
| 2023 | Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data. Ilya Pershin, Tamerlan Mustafaev, Bulat Ibragimov |
| 2023 | Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation. Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib |
| 2023 | Differential Evolution with Clustering-based Niching and Adaptive Mutation for Global Optimization. Hao Yan, Lu Zhang, Xiaoyu Wang, Qingping Liu, Mengjun Gu, Weiguo Sheng |
| 2023 | Directed Differential Equation Discovery Using Modified Mutation and Cross-Over Operators. Elizaveta Ivanchik, Alexander Hvatov |
| 2023 | EVOAL: A Domain-Specific Language-Based Approach to Optimisation. Bernhard J. Berger, Christina Plump, Rolf Drechsler |
| 2023 | Effective Robotic Swarm Shepherding in the Presence of Obstacles. Jing Liu, Hemant K. Singh, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass |
| 2023 | Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. Yang Nan, Tianye Shu, Hisao Ishibuchi |
| 2023 | Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms. Haoran Gu, Handing Wang, Yaochu Jin |
| 2023 | Efficient Multi-Agent Exploration with Mutual-Guided Actor-Critic. Renlong Chen, Ying Tan |
| 2023 | Evolution of Collective Decision-Making Mechanisms for Collective Perception. Tanja Katharina Kaiser, Tristan Potten, Heiko Hamann |
| 2023 | Evolutionary Multitask Reinforcement Learning Using Symbiosis in Biocoenosis Optimization. Rung-Tzuo Liaw, Yu-Ting Lo |
| 2023 | Evolutionary Multitasking Bi-Directional Particle Swarm Optimization for High-Dimensional Feature Selection. Jia-Quan Yang, Ke-Jing Du, Chun-Hua Chen, Hua Wang, Jun Zhang, Zhi-Hui Zhan |
| 2023 | Evolutionary Optimization of Baba Is You Agents. Christopher Olson, Lars Wagner, Alexander Dockhorn |
| 2023 | Evolving Intertask Mappings for Transfer in Reinforcement Learning. Minh Hua, John W. Sheppard |
| 2023 | Exact Formulas for the Computation of Expected Tchebycheff Improvement. Liang Zhao, Qingfu Zhang |
| 2023 | Expensive Many-Objective Optimization by Learning of the Strengthened Dominance Relation. Jiangtao Shen, Peng Wang, Huachao Dong, Wenxin Wang |
| 2023 | Extreme Learning Machine-based Genetic Algorithm for the facility location problem with distributed demands on network edges. Mahmoud Golabi, Mokhtar Essaid, Muhammad Sulaman, Lhassane Idoumghar |
| 2023 | FWA-RL: Fireworks Algorithm with Policy Gradient for Reinforcement Learning. Maiyue Chen, Ying Tan |
| 2023 | Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search. Shiqing Liu, Xilu Wang, Yaochu Jin |
| 2023 | Finding Robust Solutions for Many-Objective Optimization Using NSGA-III. Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2023 | Game Based Pigeon-Inspired Optimization with Repository Assistance for Stochastic Optimizations with Uncertain Infeasible Search Regions. Daifeng Zhang, Jiliang Zhang, Yong Wang |
| 2023 | Gaussian Adaptation with Decaying Matrix Adaptation Weights. Oladayo S. Ajani, Dzeuban Fenyom Ivan, Rammohan Mallipeddi |
| 2023 | Genetic Algorithms for Constructing Effective Nuclear Shell-Model Hamiltonians. Giovanni Acampora, Angela Chiatto, Luigi Coraggio, Giovanni De Gregorio, Roberto Schiattarella, Autilia Vitiello |
| 2023 | Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience. Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Fu-Jie Yang, Alexander Dockhorn |
| 2023 | Genetic Programming for Resource Allocation in Network Function Virtualization. Nguyen Thi Tam, Do Duc Anh, Tran Huy Hung, Pham Van Hanh, Huynh Thi Thanh Binh, Le Trong Vinh |
| 2023 | Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control. Jyotheesh Gaddam, Jan Carlo Barca, Thanh Thi Nguyen, Maia Angelova |
| 2023 | Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids. Gerardo Humberto Valencia-Rivera, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte, Ivan Amaya, Juan Gabriel Aviña-Cervantes |
| 2023 | IEEE Congress on Evolutionary Computation, CEC 2023, Chicago, IL, USA, July 1-5, 2023 |
| 2023 | IVF/NSGA-III - In Vitro Fertilization Method Coupled to NSGA-III. Sávio Menezes Sampaio, Altino Dantas, Celso G. Camilo-Junior |
| 2023 | Immune-Based System to Enhance Malware Detection. Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said |
| 2023 | Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment. Nikolay O. Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis A. Nasonov |
| 2023 | Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting. Michael Stimson, William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann |
| 2023 | Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad |
| 2023 | Increasing Features in MAP-Elites Using an Age-Layered Population Structure. Andrew Pozzuoli, Brian Ross |
| 2023 | Incremental Search-Based Allocation of Autonomous Robots for Goods Delivery. Paolo Arcaini, Ezequiel Castellano, Fuyuki Ishikawa, Hirokazu Kawamoto, Kaoru Sawai, Eiichi Muramoto |
| 2023 | Interpretability-Aware Multi-Objective Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. Gaofeng Shi, Fangfang Zhang, Yi Mei |
| 2023 | Investigating Style Forming and Twisting by Adapting AntsOMG for Composing Second Species Counterpoint. Chun-Yien Chang, Ying-Ping Chen |
| 2023 | IoT Service Composition - An Estimation of Distribution Algorithm with Adaptive Bias. Fengyang Sun, Hui Ma, Gang Chen, Sven Hartmann |
| 2023 | Is CC-(1+1) EA More Efficient than (1+1) EA on Separable and Inseparable Problems? Per Kristian Lehre, Shishen Lin |
| 2023 | Manta Ray Foraging Optimization Approaches on Multivariable PID Controller Tuning. Yan Lieven Souza Lúcio, Luiza Scapinello Aquino da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho |
| 2023 | Meta-Heuristics Approach for Arrival Sequencing and Delay Absorption Through Automated Vectoring. Imen Dhief, Mir Feroskhan, Sameer Alam, Nimrod Lilith, Daniel Delahaye |
| 2023 | Modified Robust Optimization Over Time for Process Parameter Optimization in Pre-Oxidation Process of Carbon Fiber Production. Yilin Fang, Ziheng Zhao, Liang Jin, Kunlun Li |
| 2023 | Multi-Objective Coordinate Search Optimization. Farzaneh Nikbakhtsarvestani, Azam Asilian Bidgoli, Mehran Ebrahimi, Shahryar Rahnamayan |
| 2023 | Multi-Objective Grouped Grey Wolf Optimization of PID Controllers Applied to a Water Treatment Plant Model. Yan Lieven Souza Lúcio, Viviana Cocco Mariani, Leandro dos Santos Coelho |
| 2023 | Multi-Objective Optimisation and Genetic Programming for Trading by Combining Directional Changes and Technical Indicators. Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos |
| 2023 | Multi-Objective Optimization of Critical Node Detection Based on Both Cascading and Non-Cascading Scenarios in Complex Networks. Xinyi Feng, Tong Shen, Huaijin Zhang, Haipeng Yang, Lei Zhang |
| 2023 | Multi-Objective Wrapper Differential Evolution with Guided Initial Population for Feature Selection. Gabriel Dominico, Juliana S. Bernardes, Leonardo Da Luz Dorneles, Márcio Dorn |
| 2023 | Multi-View Transfer with Marginal and Conditional Alignment for Many-Task Optimization. Sheng-Hao Wu, Jian-Yu Li, Zhi-Hui Zhan, Jun Zhang |
| 2023 | Multi-qubit Bacterial Foraging Optimization Based Pilot Assignment and Access Point Selection in Cell-Free Massive MIMO. Chenyu Geng, Zhiwei Yan, Caiyun Zhu, Wei Ji, Fei Li |
| 2023 | Negatively Correlated Search for Constrained Optimization. Yuan Li, Xiaofen Lu, Xin Yao |
| 2023 | Neural Network Based Heuristic Selection for Selection Hyper-Heuristics. Jingwei Li, Yuanjun Lin, Mustafa Misir |
| 2023 | On the Effect of Quantum Noise in Quantum Genetic Algorithms. Giovanni Acampora, Roberto Schiattarella |
| 2023 | Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds. Ozgur Salman, Themistoklis Melissourgos, Michael Kampouridis |
| 2023 | Optimizing Large-Scale Distribution Center Locations During the COVID-19 Quarantine. Luchen Wang, Ye Tian, Xiaoshu Xiang, Xingyi Zhang |
| 2023 | Order Picking: Exploring the Properties of the Greedy Seed-Based Batching Algorithm. Son Tran Thai, Rui Jorge Almeida, Christof Defryn |
| 2023 | Portfolio Re-Balancing and Optimization Using Directional Changes and Genetic Algorithms. Rui Jorge Almeida, Nalan Bastürk, Paulo Rodrigues |
| 2023 | Privacy-Preserving Implementation of Local Search Algorithms for Collaboratively Solving Assignment Problems in Time-Critical Contexts. Kevin Schuetz, Christoph G. Schuetz, Samuel Jaburek |
| 2023 | Recursive Hyper-Heuristics for the Job Shop Scheduling Problem. Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya |
| 2023 | Removal of Confounding Factors using GA-SVM Feature Adaptation: Application on Detection of Vocal Fatigue thru sEMG Classification. Yixiang Gao, Guilherme N. DeSouza, Mark Berardi, Maria Dietrich |
| 2023 | Robust Density-Based Data Clustering Using a Quantum-Inspired Genetic Algorithm. Amit Banerjee |
| 2023 | Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | Sequential Estimation of States and Parameters of Non-Linear State Space Models Taking Account of Ensembles Not Covering True States. Daigo Yamamoto, Haruki Yoshida, Yoshiki Kobayashi, Isao Ono |
| 2023 | Solving the Discretization-based Feature Construction Problem using Bi-level Evolutionary Optimization. Rihab Said, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said |
| 2023 | Surrogate-Assisted Evolution of Convolutional Neural Networks by Collaboratively Optimizing the Basic Blocks and Topologies. Yifan Li, Jing Liu, Yang Liu |
| 2023 | Surrogate-Assisted Morphology Optimization by Genetic Algorithms. Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng |
| 2023 | The Algorithm Selection Problem for Solving Sudoku with Metaheuristics. Danielle Notice, Ahmed Kheiri, Nicos G. Pavlidis |
| 2023 | The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang |
| 2023 | The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile |
| 2023 | The Natural Bias of Artificial Instances. Imanol Unanue, María Merino, José Antonio Lozano |
| 2023 | Toward Unbounded Search Space Exploration by Particle Swarm Optimization in Multi-Modal Optimization Problem. Ryuki Ishizawa, Tomoya Kuga, Yusuke Maekawa, Hiroyuki Sato, Keiki Takadama |
| 2023 | Transposition Point Optimization for Voltage Unbalance Mitigation in Electric Power Distribution Systems by Integer Form of Population-Based Incremental Learning. Yuto Kobayashi, Yoshikazu Fukuyama, Kojiro Seki, Akihiro Oi, Hotaka Yoshida, Toru Jintsugawa, Hisashi Fujimoto |
| 2023 | Trend Ratio-Based Portfolio Optimization Model Adopting Entanglement-enhanced Quantum-Inspired Evolutionary Computation in the Global Financial Markets. Yu-Chi Jiang, Ming-Ho Chang, Yu-Yu Chang, Kun-Min Wu, Po-Chun Chen, Yong Feng Tong, Yun-Ting Lai, Shu-Yu Kuo, Yao-Hsin Chou |
| 2023 | Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem. Gregorio Toscano, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker |
| 2023 | Variational Quantum Algorithm Parameter Tuning with Estimation of Distribution Algorithms. Vicente P. Soloviev, Pedro Larrañaga, Concha Bielza |
| 2023 | When Simpler is Better: Automated Configuration of a University Timetabling Solver. Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci |
| 2023 | cudaBRKGA-CNN: An Approach for Optimizing Convolutional Neural Network Architectures. Andersson A. Da Silva, Ricardo M. A. Silva, Amanda S. Xavier, Thiago Dias Bispo, Geraldo R. Mateus, Mauricio G. C. Resende |