| 2026 | GECCO | Towards More Effective Maritime Search and Rescue: A Surrogate-Assisted Evolutionary Approach. | Seung-Yeol Hong, Yong-Hyuk Kim |
| 2026 | GECCO | MAC: Memetic Actor-Critic Framework for UAV Path Planning. | Jingeun Kim, Seung-Yeol Hong, Yong-Hyuk Kim, Yourim Yoon |
| 2026 | GECCO | Beyond a Single Plan: Genetic Algorithms for Flexible Maritime Search and Rescue. | TaeHun Kim, Hae-Sang Jeong, Choong-Ki Kim, Seung-Yeol Hong, Yong-Hyuk Kim |
| 2026 | GECCO | On Representation Size in Genetic Algorithms: A Comparison via Graph Partitioning Problem-Quadratic Assignment Problem Reduction. | Jun-Sang Kim, Yong-Hyuk Kim |
| 2025 | GECCO | From Trees to Cuts: Statistical Insights into Spanning-Tree-Based Max-Cut Algorithms. | Ho-Jun Jang, Yong-Hyuk Kim |
| 2025 | GECCO | Written by Artificial Intelligence, Evolved by Genetic Algorithms: An Evolutionary Challenge to Solving the Traveling Salesperson Problem with ChatGPT. | Tae-Hun Kim, Yong-Hyuk Kim |
| 2025 | GECCO | Evolutionary Ensemble for Prediction of Drifter Trajectories Using Weighted Majority. | Tae-Hoon Kim, Seung-Hyun Moon, Yong-Hyuk Kim |
| 2025 | GECCO | Efficient Path Planning for Maritime Search and Rescue: A Surrogate-Assisted Memetic Algorithm. | Sojung Lee, Pablo Moscato, Yong-Hyuk Kim |
| 2025 | GECCO | A Genetic Ensemble Method for Correcting Maritime Wind Forecasts. | Chae-Rim Park, Tae-Hoon Kim, Yong-Hyuk Kim, Seung-Hyun Moon |
| 2024 | GECCO | A Memetic Algorithm for Deployment of Search and Rescue Units. | Seung-Yeol Hong, Yong-Hyuk Kim |
| 2024 | GECCO | Evolutionary Ensemble for Predicting Drifter Trajectories Based on Genetic Feature Selection. | Tae-Hoon Kim, Seung-Hyun Moon, Yong-Hyuk Kim |
| 2024 | GECCO | A Memetic Algorithm to Identify Search Patterns for Maximal Coverage of Drifting Oceanic Particles. | Sojung Lee, Yong-Hyuk Kim |
| 2024 | GECCO | Enhancing Graph Cut Search through a Surrogate-Assisted Genetic Algorithm with Edge-Based Encoding. | Seo-Ah Yu, Yong-Hyuk Kim |
| 2023 | IJCCI | Maximizing Particle Coverage with Fixed-Area Rectangles. | Seung-Yeol Hong, Yong-Hyuk Kim |
| 2023 | IJCCI | A Genetic Algorithm for Marine Spatial Planning with Minimized Conflict Between Planned Regions. | Seo-Ah Yu, Choong-Ki Kim, Yong-Hyuk Kim |
| 2022 | GECCO | A surrogate model-based genetic algorithm for the optimal policy in cart-pole balancing environments. | Seung-Soo Shin, Yong-Hyuk Kim |
| 2021 | GECCO | An optimal oil skimmer assignment based on a genetic algorithm with minimal mobilized locations. | Dong-Hee Cho, Yong-Hyuk Kim |
| 2021 | GECCO | An improved predictor of daily stock index based on a genetic filter. | Dong-Hee Cho, Seung-Hyun Moon, Yong-Hyuk Kim |
| 2021 | GECCO | Winner prediction for real-time strategy games through feature selection based on a genetic wrapper. | Seung-Soo Shin, Yong-Hyuk Kim |
| 2020 | GECCO | A genetic algorithm to optimize SMOTE and GAN ratios in class imbalanced datasets. | Hwi-Yeon Cho, Yong-Hyuk Kim |
| 2020 | GECCO | A daily stock index predictor using feature selection based on a genetic wrapper. | Dong-Hee Cho, Seung-Hyun Moon, Yong-Hyuk Kim |
| 2020 | GECCO | A surrogate model using deep neural networks for optimal oil skimmer assignment. | Hye-Jin Kim, Yong-Hyuk Kim |
| 2020 | GECCO | Finding a better basis on binary representation through DNN-based epistasis estimation. | Yong-Hoon Kim, Yong-Hyuk Kim |
| 2020 | GECCO | A genetic algorithm for matching oil spill particles. | Hyeon-Chang Lee, Hwi-Yeon Cho, Yong-Hyuk Kim |
| 2020 | GECCO | On the co-authorship network in evolutionary computation. | Dong-Pil Yu, Yong-Hyuk Kim |
| 2020 | GECCO | On the Effect of Walsh/Fourier transform in surrogate-assisted genetic algorithms. | Dong-Pil Yu, Yong-Hyuk Kim |
| 2019 | GECCO | Stabilized training of generative adversarial networks by a genetic algorithm. | Hwi-Yeon Cho, Yong-Hyuk Kim |
| 2019 | GECCO | Predictive model for epistasis-based basis evaluation on pseudo-boolean function using deep neural networks. | Yong-Hoon Kim, Junghwan Lee, Yong-Hyuk Kim |
| 2019 | GECCO | Optimal equipment assignment for oil spill response using a genetic algorithm. | Hye-Jin Kim, Junghwan Lee, Jong-Hwui Yun, Yong-Hyuk Kim |
| 2019 | GECCO | Visualizing swarm behavior with a particle density map. | Hyeon-Chang Lee, Yong-Hyuk Kim |
| 2019 | GECCO | Predictability on performance of surrogate-assisted evolutionary algorithm according to problem dimension. | Dong-Pil Yu, Yong-Hyuk Kim |
| 2018 | GECCO | Parameter space analysis of genetic algorithm using support vector regression. | Hwi-Yeon Cho, Hye-Jin Kim, Yong-Hyuk Kim |
| 2018 | GECCO | Importance of finding a good basis in binary representation. | Junghwan Lee, Yong-Hyuk Kim |
| 2018 | GECCO | On the hardness of parameter optimization of convolution neural networks using genetic algorithm and machine learning. | Hyeon-Chang Lee, Dong-Pil Yu, Yong-Hyuk Kim |
| 2018 | GECCO | A geometric evolutionary search for melody composition. | Yong-Wook Nam, Yong-Hyuk Kim |
| 2018 | GECCO | Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem size. | Dong-Pil Yu, Yong-Hyuk Kim |
| 2017 | GECCO | Melody composition using geometric crossover for variable-length encoding. | Yong-Wook Nam, Yong-Hyuk Kim |
| 2015 | GECCO | An Adeaptive Method of Hungarian Mating Schemes in Genetic Algorithms. | Chanju Jung, Yong-Hyuk Kim, Yourim Yoon, Byung-Ro Moon |
| 2014 | SMC | Correcting abnormalities in meteorological data by machine learning. | Min-Ki Lee, Seung-Hyun Moon, Yong-Hyuk Kim, Byung Ro Moon |
| 2014 | SAC | Investigation of hungarian mating schemes for genetic algorithms. | Chanju Jung, Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon |
| 2012 | PPSN | A Spanning Tree-Based Encoding of the MAX CUT Problem for Evolutionary Search. | Kisung Seo, Soohwan Hyun, Yong-Hyuk Kim |
| 2011 | GECCO | Genetic approaches for graph partitioning: a survey. | Jin Kim, Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon |
| 2011 | GECCO | Geometric surrogate-based optimisation for permutation-based problems. | Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon |
| 2010 | SAC | Probabilistic context prediction using time-inferred multiple pattern networks. | Yong-Hyuk Kim, Wonkook Kim, Kyungsub Min, Yourim Yoon |
| 2010 | SAC | New theoretical findings in multiple personalized recommendations. | Yong-Hyuk Kim, Yourim Yoon |
| 2009 | GECCO | Optimal designs of ambiguous mobile keypad with alphabetical constraints. | Hyunmin Kim, Yong-Hyuk Kim |
| 2009 | GECCO | Visualizing the search process of particle swarm optimization. | Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon |
| 2009 | GECCO | Representation and recombination over nonsingular binary matrices. | Yong-Hyuk Kim, Yourim Yoon |
| 2008 | GECCO | Linear transformation in Pseudo-Boolean functions. | Yong-Hyuk Kim |
| 2008 | GECCO | Feasibility-preserving crossover for maximum k-coverage problem. | Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon |
| 2008 | ICCSA | An Enzyme-Inspired Approach to Surmount Barriers in Graph Bisection. | Yong-Hyuk Kim |
| 2008 | SAC | A genetic algorithm for sensor deployment based on two-dimensional operators. | Jae-Hyun Seo, Yong-Hyuk Kim, Hwang-Bin Ryou, Seok-Joong Kang |
| 2007 | GECCO | Overcoming barriers by a cluster-moving genetic algorithm. | Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon |
| 2007 | GECCO | Geometric crossovers for real-code representation. | Yourim Yoon, Yong-Hyuk Kim, Alberto Moraglio, Byung Ro Moon |
| 2006 | GECCO | Multi-attractor gene reordering for graph bisection. | Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon |
| 2006 | GECCO | Geometric crossover for multiway graph partitioning. | Yong-Hyuk Kim, Yourim Yoon, Alberto Moraglio, Byung Ro Moon |
| 2006 | GECCO | Generalized cycle crossover for graph partitioning. | Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon, Riccardo Poli |
| 2005 | GECCO | New topologies for genetic search space. | Yong-Hyuk Kim, Byung Ro Moon |
| 2005 | GECCO | An evolutionary lagrangian method for the 0/1 multiple knapsack problem. | Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon |
| 2004 | GECCO | A Hybrid Genetic Approach for Circuit Bipartitioning. | Jong-Pil Kim, Yong-Hyuk Kim, Byung Ro Moon |
| 2004 | GECCO | A Genetic Approach for Gene Selection on Microarray Expression Data. | Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon |
| 2004 | GECCO | Distance Measures in Genetic Algorithms. | Yong-Hyuk Kim, Byung Ro Moon |
| 2004 | GECCO | Lagrange Multiplier Method for Multi-campaign Assignment Problem. | Yong-Hyuk Kim, Byung Ro Moon |
| 2003 | GECCO | Problem-Independent Schema Synthesis for Genetic Algorithms. | Yong-Hyuk Kim, Yung-Keun Kwon, Byung Ro Moon |
| 2003 | GECCO | Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm. | Yong-Hyuk Kim, Seung-Kyu Lee, Byung Ro Moon |
| 2003 | GECCO | Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning. | Yong-Hyuk Kim, Byung Ro Moon |
| 2003 | GECCO | New Usage of Sammon's Mapping for Genetic Visualization. | Yong-Hyuk Kim, Byung Ro Moon |
| 2003 | GECCO | Multi-campaign Assignment Problem and Optimizing Lagrange Multipliers. | Yong-Hyuk Kim, Byung Ro Moon |
| 2003 | GECCO | Finding the Optimal Gene Order in Displaying Microarray Data. | Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon |
| 2003 | GECCO | New Entropy-Based Measures of Gene Significance and Epistasis. | Dong-il Seo, Yong-Hyuk Kim, Byung Ro Moon |
| 2002 | GECCO | Visualization Of The Fitness Landscape, A Steady-state Genetic Search, And Schema Traces. | Yong-Hyuk Kim, Byung Ro Moon |
| 2002 | GECCO | Genetic Search For Fixed Channel Assignment Problem With Limited Bandwidth. | Eun-Jong Park, Yong-Hyuk Kim, Byung Ro Moon |
| 2000 | GECCO | A Hybrid Genetic Search for Graph Partitioning Based on Lock Gain. | Yong-Hyuk Kim, Byung Ro Moon |