A Hybrid Genetic Search for Graph Partitioning Based on Lock Gain. - Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2000)

Visualization Of The Fitness Landscape, A Steady-state Genetic Search, And Schema Traces. - Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2002)

Genetic Search For Fixed Channel Assignment Problem With Limited Bandwidth. - Eun-Jong Park; Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2002)

Problem-Independent Schema Synthesis for Genetic Algorithms. - Yong-Hyuk Kim; Yung-Keun Kwon; Byung Ro Moon (GECCO, 2003)

Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm. - Yong-Hyuk Kim; Seung-Kyu Lee 003; Byung Ro Moon (GECCO, 2003)

Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning. - Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2003)

New Usage of Sammon's Mapping for Genetic Visualization. - Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2003)

Multi-campaign Assignment Problem and Optimizing Lagrange Multipliers. - Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2003)

Finding the Optimal Gene Order in Displaying Microarray Data. - Seung-Kyu Lee 003; Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2003)

New Entropy-Based Measures of Gene Significance and Epistasis. - Dong-il Seo; Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2003)

A Hybrid Genetic Approach for Circuit Bipartitioning. - Jong-Pil Kim; Yong-Hyuk Kim; Byung Ro Moon (GECCO (2), 2004)

A Genetic Approach for Gene Selection on Microarray Expression Data. - Yong-Hyuk Kim; Su-Yeon Lee; Byung Ro Moon (GECCO (1), 2004)

Distance Measures in Genetic Algorithms. - Yong-Hyuk Kim; Byung Ro Moon (GECCO (2), 2004)

Lagrange Multiplier Method for Multi-campaign Assignment Problem. - Yong-Hyuk Kim; Byung Ro Moon (GECCO (2), 2004)

Lock-Gain Based Graph Partitioning. - Yong-Hyuk Kim; Byung Ro Moon (J. Heuristics, 2004)

Investigation of the Fitness Landscapes in Graph Bipartitioning: An Empirical Study. - Yong-Hyuk Kim; Byung Ro Moon (J. Heuristics, 2004)

New topologies for genetic search space. - Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2005)

An evolutionary lagrangian method for the 0/1 multiple knapsack problem. - Yourim Yoon; Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2005)

Multi-attractor gene reordering for graph bisection. - Inwook Hwang; Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2006)

Geometric crossover for multiway graph partitioning. - Yong-Hyuk Kim; Yourim Yoon; Alberto Moraglio; Byung Ro Moon (GECCO, 2006)

Generalized cycle crossover for graph partitioning. - Alberto Moraglio; Yong-Hyuk Kim; Yourim Yoon; Byung Ro Moon; Riccardo Poli (GECCO, 2006)

Multicampaign Assignment Problem. - Yong-Hyuk Kim; Byung Ro Moon (IEEE Trans. Knowl. Data Eng., 2006)

Overcoming barriers by a cluster-moving genetic algorithm. - Inwook Hwang; Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2007)

Geometric crossovers for real-code representation. - Yourim Yoon; Yong-Hyuk Kim; Alberto Moraglio; Byung Ro Moon (GECCO, 2007)

Geometric Crossovers for Multiway Graph Partitioning. - Alberto Moraglio; Yong-Hyuk Kim; Yourim Yoon; Byung Ro Moon (Evol. Comput., 2007)

Improved Implementation Choices for Iterative Improvement Partitioning Algorithms on Circuits. - Yong-Hyuk Kim (CDES, 2008)

Linear transformation in Pseudo-Boolean functions. - Yong-Hyuk Kim (GECCO, 2008)

Feasibility-preserving crossover for maximum k-coverage problem. - Yourim Yoon; Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2008)

Extracting Informative Sections of Web Documents Based on Scoring DOM Subtrees. - Yong-Hyuk Kim; Dong-ug Kim; Sejun Ahn (International Conference on Internet Computing, 2008)

An Enzyme-Inspired Approach to Surmount Barriers in Graph Bisection. - Yong-Hyuk Kim (ICCSA (1), 2008)

A genetic algorithm for sensor deployment based on two-dimensional operators. - Jae-Hyun Seo; Yong-Hyuk Kim; Hwang-Bin Ryou; Seok-Joong Kang (SAC, 2008)

Optimal Sensor Deployment for Wireless Surveillance Sensor Networks by a Hybrid Steady-State Genetic Algorithm. - Jae-Hyun Seo; Yong-Hyuk Kim; Hwang-Bin Ryou; Si-Ho Cha; Minho Jo 001 (IEICE Trans. Commun., 2008)

Effect of Changing the Basis in Genetic Algorithms Using Binary Encoding. - Yong-Hyuk Kim; Yourim Yoon (KSII Trans. Internet Inf. Syst., 2008)

A Lagrangian Approach for Multiple Personalized Campaigns. - Yong-Hyuk Kim; Yourim Yoon; Byung Ro Moon (IEEE Trans. Knowl. Data Eng., 2008)

A New Kernighan-Lin-Type Local Search for the Quadratic Assignment Problem. - Yong-Hyuk Kim; Yourim Yoon (CSC, 2009)

Optimal designs of ambiguous mobile keypad with alphabetical constraints. - Hyunmin Kim; Yong-Hyuk Kim (GECCO, 2009)

Visualizing the search process of particle swarm optimization. - Yong-Hyuk Kim; Kang Hoon Lee; Yourim Yoon (GECCO, 2009)

Representation and recombination over nonsingular binary matrices. - Yong-Hyuk Kim; Yourim Yoon (GEC Summit, 2009)

A Genetic Algorithm for Mobile Keypad Designs with Alphabetical Constraints. - Hyunmin Kim; Yong-Hyuk Kim (GEM, 2009)

A genetic algorithm for joint replenishment based on the exact inventory cost. - Sung-Pil Hong; Yong-Hyuk Kim (Comput. Oper. Res., 2009)

A Note on Mathematical Modelling of Practical Multicampaign Assignment and Its Computational Complexity - Yong-Hyuk Kim; Yourim Yoon (CoRR, 2009)

A Mathematical Unification of Geometric Crossovers Defined on Phenotype Space - Yourim Yoon; Yong-Hyuk Kim; Alberto Moraglio; Byung Ro Moon (CoRR, 2009)

Mathematical Interpretation between Genotype and Phenotype Spaces and Induced Geometric Crossovers - Yourim Yoon; Yong-Hyuk Kim; Alberto Moraglio; Byung Ro Moon (CoRR, 2009)

Probabilistic context prediction using time-inferred multiple pattern networks. - Yong-Hyuk Kim; Wonkook Kim; Kyungsub Min; Yourim Yoon (SAC, 2010)

New theoretical findings in multiple personalized recommendations. - Yong-Hyuk Kim; Yourim Yoon (SAC, 2010)

A Genetic Approach to Analyze Algorithm Performance Based on the Worst-Case Instances. - So-Yeong Jeon; Yong-Hyuk Kim (J. Softw. Eng. Appl., 2010)

Genetic approaches for graph partitioning: a survey. - Jin Kim; Inwook Hwang; Yong-Hyuk Kim; Byung Ro Moon (GECCO, 2011)

Geometric surrogate-based optimisation for permutation-based problems. - Alberto Moraglio; Yong-Hyuk Kim; Yourim Yoon (GECCO (Companion), 2011)

A Note on Edge-based Graph Partitioning and its Linear Algebraic Structure. - Yourim Yoon; Yong-Hyuk Kim; Byung Ro Moon (J. Math. Model. Algorithms, 2011)

Genetic Feature Selection for Very Short-Term Heavy Rainfall Prediction. - Jae-Hyun Seo; Yong-Hyuk Kim (ICHIT (1), 2012)

A Spanning Tree-Based Encoding of the MAX CUT Problem for Evolutionary Search. - Kisung Seo; Soohwan Hyun; Yong-Hyuk Kim (PPSN (1), 2012)

A theoretical and empirical investigation on the Lagrangian capacities of the 0-1 multidimensional knapsack problem. - Yourim Yoon; Yong-Hyuk Kim; Byung Ro Moon (Eur. J. Oper. Res., 2012)

A theoretical and empirical study on unbiased boundary-extended crossover for real-valued representation. - Yourim Yoon; Yong-Hyuk Kim; Alberto Moraglio; Byung Ro Moon (Inf. Sci., 2012)

Quotient geometric crossovers and redundant encodings. - Yourim Yoon; Yong-Hyuk Kim; Alberto Moraglio; Byung Ro Moon (Theor. Comput. Sci., 2012)

Geometricity of genetic operators for real-coded representation. - Yourim Yoon; Yong-Hyuk Kim (Appl. Math. Comput., 2013)

An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks. - Yourim Yoon; Yong-Hyuk Kim (IEEE Trans. Cybern., 2013)

Investigation of hungarian mating schemes for genetic algorithms. - Chanju Jung; Yong-Hyuk Kim; Yourim Yoon; Byung Ro Moon (SAC, 2014)

Correcting abnormalities in meteorological data by machine learning. - Min-Ki Lee; Seung-Hyun Moon; Yong-Hyuk Kim; Byung Ro Moon (SMC, 2014)

Charge Scheduling of an Energy Storage System under Time-of-use Pricing and a Demand Charge. - Yourim Yoon; Yong-Hyuk Kim (CoRR, 2014)

An Adeaptive Method of Hungarian Mating Schemes in Genetic Algorithms. - Chanju Jung; Yong-Hyuk Kim; Yourim Yoon; Byung-Ro Moon (GECCO (Companion), 2015)

Correcting Air-Pressure Data Collected by MEMS Sensors in Smartphones. - Na-young Kim; Yong-Hyuk Kim; Yourim Yoon; Hyo-Hyuc Im; Reno K. Y. Choi; Yong Hee Lee (J. Sensors, 2015)

An Edge-Set Representation Based on a Spanning Tree for Searching Cut Space. - Kisung Seo; Soohwan Hyun; Yong-Hyuk Kim (IEEE Trans. Evol. Comput., 2015)

An NFC-based O2O service model in exhibition-space. - Joon-Yeop Lee; Yong-Hyuk Kim; Yourim Yoon (ICEC, 2016)

Improved Correction of Atmospheric Pressure Data Obtained by Smartphones through Machine Learning. - Yong-Hyuk Kim; Ji-Hun Ha; Yourim Yoon; Na-young Kim; Hyo-Hyuc Im; Sangjin Sim; Reno K. Y. Choi (Comput. Intell. Neurosci., 2016)

An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA. - Jae-Hyun Seo; Yourim Yoon; Yong-Hyuk Kim (Int. J. Distributed Sens. Networks, 2016)

Melody composition using geometric crossover for variable-length encoding. - Yong-Wook Nam; Yong-Hyuk Kim (GECCO (Companion), 2017)

Coverage problem in camera-based sensor networks using the CUDA platform. - Jae-Hyun Seo; Yourim Yoon; Yong-Hyuk Kim (Int. J. Distributed Sens. Networks, 2017)

Parameter space analysis of genetic algorithm using support vector regression. - Hwi-Yeon Cho; Hye-Jin Kim; Yong-Hyuk Kim (GECCO (Companion), 2018)

Importance of finding a good basis in binary representation. - Junghwan Lee; Yong-Hyuk Kim (GECCO (Companion), 2018)

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 (GECCO (Companion), 2018)

A geometric evolutionary search for melody composition. - Yong-Wook Nam; Yong-Hyuk Kim (GECCO (Companion), 2018)

Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem size. - Dong-Pil Yu; Yong-Hyuk Kim (GECCO (Companion), 2018)

Machine-Learning Approach to Optimize SMOTE Ratio in Class Imbalance Dataset for Intrusion Detection. - Jae-Hyun Seo; Yong-Hyuk Kim (Comput. Intell. Neurosci., 2018)

Recent Progress on Graph Partitioning Problems Using Evolutionary Computation. - Hye-Jin Kim; Yong-Hyuk Kim (CoRR, 2018)

Optimization by Simulated Catalytic Reaction: Application to Graph Bisection. - Yong-Hyuk Kim; Seok-Joong Kang (KSII Trans. Internet Inf. Syst., 2018)

Interdependency between the Stock Market and Financial News. - EunJeong Hwang; Yong-Hyuk Kim (IEEE BigData, 2019)

Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm. - Yong-Wook Nam; Yong-Hyuk Kim (EvoMUSART, 2019)

Stabilized training of generative adversarial networks by a genetic algorithm. - Hwi-Yeon Cho; Yong-Hyuk Kim (GECCO (Companion), 2019)

Predictive model for epistasis-based basis evaluation on pseudo-boolean function using deep neural networks. - Yong-Hoon Kim; Junghwan Lee; Yong-Hyuk Kim (GECCO (Companion), 2019)

Optimal equipment assignment for oil spill response using a genetic algorithm. - Hye-Jin Kim; Junghwan Lee; Jong-Hwui Yun; Yong-Hyuk Kim (GECCO (Companion), 2019)

Visualizing swarm behavior with a particle density map. - Hyeon-Chang Lee; Yong-Hyuk Kim (GECCO (Companion), 2019)

Predictability on performance of surrogate-assisted evolutionary algorithm according to problem dimension. - Dong-Pil Yu; Yong-Hyuk Kim (GECCO (Companion), 2019)

Epistasis-Based Basis Estimation Method for Simplifying the Problem Space of an Evolutionary Search in Binary Representation. - Junghwan Lee; Yong-Hyuk Kim (Complex., 2019)

A comparison study of harmony search and genetic algorithm for the max-cut problem. - Yong-Hyuk Kim; Yourim Yoon; Zong Woo Geem (Swarm Evol. Comput., 2019)

A genetic algorithm to optimize SMOTE and GAN ratios in class imbalanced datasets. - Hwi-Yeon Cho; Yong-Hyuk Kim (GECCO Companion, 2020)

A daily stock index predictor using feature selection based on a genetic wrapper. - Dong-Hee Cho; Seung-Hyun Moon; Yong-Hyuk Kim (GECCO Companion, 2020)

A surrogate model using deep neural networks for optimal oil skimmer assignment. - Hye-Jin Kim; Yong-Hyuk Kim (GECCO Companion, 2020)

Finding a better basis on binary representation through DNN-based epistasis estimation. - Yong-Hoon Kim; Yong-Hyuk Kim (GECCO Companion, 2020)

A genetic algorithm for matching oil spill particles. - Hyeon-Chang Lee; Hwi-Yeon Cho; Yong-Hyuk Kim (GECCO Companion, 2020)

On the co-authorship network in evolutionary computation. - Dong-Pil Yu; Yong-Hyuk Kim (GECCO Companion, 2020)

On the Effect of Walsh/Fourier transform in surrogate-assisted genetic algorithms. - Dong-Pil Yu; Yong-Hyuk Kim (GECCO Companion, 2020)

Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning. - Hye-Jin Kim; Sung Min Park; Byung Jin Choi; Seung-Hyun Moon; Yong-Hyuk Kim (Comput. Intell. Neurosci., 2020)

Optimizing taxon addition order and branch lengths in the construction of phylogenetic trees using maximum likelihood. - Yourim Yoon; Yong-Hyuk Kim (J. Bioinform. Comput. Biol., 2020)

An optimal oil skimmer assignment based on a genetic algorithm with minimal mobilized locations. - Dong-Hee Cho; Yong-Hyuk Kim (GECCO Companion, 2021)

An improved predictor of daily stock index based on a genetic filter. - Dong-Hee Cho; Seung-Hyun Moon; Yong-Hyuk Kim (GECCO Companion, 2021)

Winner prediction for real-time strategy games through feature selection based on a genetic wrapper. - Seung-Soo Shin; Yong-Hyuk Kim (GECCO Companion, 2021)

A surrogate model-based genetic algorithm for the optimal policy in cart-pole balancing environments. - Seung-Soo Shin; Yong-Hyuk Kim (GECCO Companion, 2022)

Maximizing the Coverage of Sensor Deployments Using a Memetic Algorithm and Fast Coverage Estimation. - Yourim Yoon; Yong-Hyuk Kim (IEEE Trans. Cybern., 2022)

Maximizing Particle Coverage with Fixed-Area Rectangles. - Seung-Yeol Hong; Yong-Hyuk Kim (IJCCI, 2023)

A Genetic Algorithm for Marine Spatial Planning with Minimized Conflict Between Planned Regions. - Seo-Ah Yu; Choong-Ki Kim; Yong-Hyuk Kim (IJCCI, 2023)

A Memetic Algorithm for Deployment of Search and Rescue Units. - Seung-Yeol Hong; Yong-Hyuk Kim (GECCO Companion, 2024)

Evolutionary Ensemble for Predicting Drifter Trajectories Based on Genetic Feature Selection. - Tae-Hoon Kim; Seung-Hyun Moon; Yong-Hyuk Kim (GECCO Companion, 2024)

A Memetic Algorithm to Identify Search Patterns for Maximal Coverage of Drifting Oceanic Particles. - So-Jung Lee; Yong-Hyuk Kim (GECCO Companion, 2024)

Enhancing Graph Cut Search through a Surrogate-Assisted Genetic Algorithm with Edge-Based Encoding. - Seo-Ah Yu; Yong-Hyuk Kim (GECCO Companion, 2024)

Genetic Algorithm-Based Pruning for Efficient DenseNet Architectures. - Jingeun Kim; Yong-Hyuk Kim; Yourim Yoon (ICAIIC, 2024)

Combining Reinforcement Learning and Heuristic Optimization: A Model Based on a Deep Q-Network and Graph Neural Networks for Graph Coloring. - Seokjin Kwon; Yong-Hyuk Kim (ICAIIC, 2025)