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Yong-Hyuk Kim
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2020 – today
- 2024
- [c73]Seung-Yeol Hong
, Yong-Hyuk Kim
A Memetic Algorithm for Deployment of Search and Rescue Units. GECCO Companion 2024: 95-96 - [c72]Seo-Ah Yu
Enhancing Graph Cut Search through a Surrogate-Assisted Genetic Algorithm with Edge-Based Encoding. GECCO Companion 2024: 115-116 - [c71]Tae-Hoon Kim
Evolutionary Ensemble for Predicting Drifter Trajectories Based on Genetic Feature Selection. GECCO Companion 2024: 675-678 - [c70]So-Jung Lee
A Memetic Algorithm to Identify Search Patterns for Maximal Coverage of Drifting Oceanic Particles. GECCO Companion 2024: 679-682 - [c69]Jingeun Kim, Yong-Hyuk Kim, Yourim Yoon:
Genetic Algorithm-Based Pruning for Efficient DenseNet Architectures. ICAIIC 2024: 644-647 - 2023
- [c68]Seung-Yeol Hong, Yong-Hyuk Kim:
Maximizing Particle Coverage with Fixed-Area Rectangles. IJCCI 2023: 172-178 - [c67]Seo-Ah Yu, Choong-Ki Kim, Yong-Hyuk Kim:
A Genetic Algorithm for Marine Spatial Planning with Minimized Conflict Between Planned Regions. IJCCI 2023: 179-185 - 2022
- [j27]Yourim Yoon
Maximizing the Coverage of Sensor Deployments Using a Memetic Algorithm and Fast Coverage Estimation. IEEE Trans. Cybern. 52(7): 6531-6542 (2022) - [c66]Seung-Soo Shin, Yong-Hyuk Kim:
A surrogate model-based genetic algorithm for the optimal policy in cart-pole balancing environments. GECCO Companion 2022: 503-505 - 2021
- [c65]Dong-Hee Cho, Seung-Hyun Moon, Yong-Hyuk Kim:
An improved predictor of daily stock index based on a genetic filter. GECCO Companion 2021: 49-50 - [c64]Seung-Soo Shin, Yong-Hyuk Kim:
Winner prediction for real-time strategy games through feature selection based on a genetic wrapper. GECCO Companion 2021: 65-66 - [c63]Dong-Hee Cho, Yong-Hyuk Kim:
An optimal oil skimmer assignment based on a genetic algorithm with minimal mobilized locations. GECCO Companion 2021: 299-300 - 2020
- [j26]Hye-Jin Kim
Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning. Comput. Intell. Neurosci. 2020: 7980434:1-7980434:12 (2020) - [j25]Yourim Yoon, Yong-Hyuk Kim
Optimizing taxon addition order and branch lengths in the construction of phylogenetic trees using maximum likelihood. J. Bioinform. Comput. Biol. 18(2): 2050003:1-2050003:16 (2020) - [c62]Dong-Hee Cho, Seung-Hyun Moon
A daily stock index predictor using feature selection based on a genetic wrapper. GECCO Companion 2020: 31-32 - [c61]Hwi-Yeon Cho, Yong-Hyuk Kim:
A genetic algorithm to optimize SMOTE and GAN ratios in class imbalanced datasets. GECCO Companion 2020: 33-34 - [c60]Hye-Jin Kim, Yong-Hyuk Kim:
A surrogate model using deep neural networks for optimal oil skimmer assignment. GECCO Companion 2020: 39-40 - [c59]Dong-Pil Yu, Yong-Hyuk Kim:
On the co-authorship network in evolutionary computation. GECCO Companion 2020: 61-62 - [c58]Yong-Hoon Kim, Yong-Hyuk Kim:
Finding a better basis on binary representation through DNN-based epistasis estimation. GECCO Companion 2020: 229-230 - [c57]Dong-Pil Yu, Yong-Hyuk Kim:
On the Effect of Walsh/Fourier transform in surrogate-assisted genetic algorithms. GECCO Companion 2020: 235-236 - [c56]Hyeon-Chang Lee, Hwi-Yeon Cho, Yong-Hyuk Kim:
A genetic algorithm for matching oil spill particles. GECCO Companion 2020: 273-274
2010 – 2019
- 2019
- [j24]Junghwan Lee
Epistasis-Based Basis Estimation Method for Simplifying the Problem Space of an Evolutionary Search in Binary Representation. Complex. 2019: 2095167:1-2095167:13 (2019) - [j23]Yong-Hyuk Kim, Yourim Yoon, Zong Woo Geem
A comparison study of harmony search and genetic algorithm for the max-cut problem. Swarm Evol. Comput. 44: 130-135 (2019) - [c55]EunJeong Hwang, Yong-Hyuk Kim:
Interdependency between the Stock Market and Financial News. IEEE BigData 2019: 6074-6076 - [c54]Yong-Wook Nam, Yong-Hyuk Kim
Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm. EvoMUSART 2019: 217-233 - [c53]Hwi-Yeon Cho
Stabilized training of generative adversarial networks by a genetic algorithm. GECCO (Companion) 2019: 51-52 - [c52]Yong-Hoon Kim
Predictive model for epistasis-based basis evaluation on pseudo-boolean function using deep neural networks. GECCO (Companion) 2019: 61-62 - [c51]Dong-Pil Yu, Yong-Hyuk Kim:
Predictability on performance of surrogate-assisted evolutionary algorithm according to problem dimension. GECCO (Companion) 2019: 91-92 - [c50]Hye-Jin Kim, Junghwan Lee, Jong-Hwui Yun, Yong-Hyuk Kim:
Optimal equipment assignment for oil spill response using a genetic algorithm. GECCO (Companion) 2019: 375-376 - [c49]Hyeon-Chang Lee, Yong-Hyuk Kim:
Visualizing swarm behavior with a particle density map. GECCO (Companion) 2019: 415-416 - [i7]Junghwan Lee, Yong-Hyuk Kim:
Epistasis-based Basis Estimation Method for Simplifying the Problem Space of an Evolutionary Search in Binary Representation. CoRR abs/1904.09103 (2019) - [i6]EunJeong Hwang, Yong-Hyuk Kim:
Interdependency between the Stock Market and Financial News. CoRR abs/1909.00344 (2019) - 2018
- [j22]Jae-Hyun Seo
Machine-Learning Approach to Optimize SMOTE Ratio in Class Imbalance Dataset for Intrusion Detection. Comput. Intell. Neurosci. 2018: 9704672:1-9704672:11 (2018) - [j21]Yong-Hyuk Kim, Seok-Joong Kang:
Optimization by Simulated Catalytic Reaction: Application to Graph Bisection. KSII Trans. Internet Inf. Syst. 12(5): 2162-2176 (2018) - [c48]Hwi-Yeon Cho
Parameter space analysis of genetic algorithm using support vector regression. GECCO (Companion) 2018: 35-36 - [c47]Junghwan Lee
Importance of finding a good basis in binary representation. GECCO (Companion) 2018: 49-50 - [c46]Hyeon-Chang Lee, Dong-Pil Yu, Yong-Hyuk Kim:
On the hardness of parameter optimization of convolution neural networks using genetic algorithm and machine learning. GECCO (Companion) 2018: 51-52 - [c45]Yong-Wook Nam, Yong-Hyuk Kim:
A geometric evolutionary search for melody composition. GECCO (Companion) 2018: 53-54 - [c44]Dong-Pil Yu, Yong-Hyuk Kim:
Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem size. GECCO (Companion) 2018: 77-78 - [i5]Hye-Jin Kim, Yong-Hyuk Kim:
Recent Progress on Graph Partitioning Problems Using Evolutionary Computation. CoRR abs/1805.01623 (2018) - 2017
- [j20]Jae-Hyun Seo
Coverage problem in camera-based sensor networks using the CUDA platform. Int. J. Distributed Sens. Networks 13(12) (2017) - [c43]Yong-Wook Nam, Yong-Hyuk Kim:
Melody composition using geometric crossover for variable-length encoding. GECCO (Companion) 2017: 37-38 - 2016
- [j19]Yong-Hyuk Kim, Ji-Hun Ha, Yourim Yoon
Improved Correction of Atmospheric Pressure Data Obtained by Smartphones through Machine Learning. Comput. Intell. Neurosci. 2016: 9467878:1-9467878:12 (2016) - [j18]Jae-Hyun Seo
An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA. Int. J. Distributed Sens. Networks 12: 8612128:1-8612128:17 (2016) - [c42]Joon-Yeop Lee, Yong-Hyuk Kim, Yourim Yoon:
An NFC-based O2O service model in exhibition-space. ICEC 2016: 42:1-42:8 - 2015
- [j17]Na-young Kim, Yong-Hyuk Kim
Correcting Air-Pressure Data Collected by MEMS Sensors in Smartphones. J. Sensors 2015: 245498:1-245498:10 (2015) - [j16]Kisung Seo, Soohwan Hyun, Yong-Hyuk Kim:
An Edge-Set Representation Based on a Spanning Tree for Searching Cut Space. IEEE Trans. Evol. Comput. 19(4): 465-473 (2015) - [c41]Chanju Jung, Yong-Hyuk Kim, Yourim Yoon, Byung-Ro Moon:
An Adeaptive Method of Hungarian Mating Schemes in Genetic Algorithms. GECCO (Companion) 2015: 1413-1414 - 2014
- [c40]Chanju Jung, Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon:
Investigation of hungarian mating schemes for genetic algorithms. SAC 2014: 140-147 - [c39]Min-Ki Lee, Seung-Hyun Moon
Correcting abnormalities in meteorological data by machine learning. SMC 2014: 888-893 - [i4]Yourim Yoon, Yong-Hyuk Kim:
Charge Scheduling of an Energy Storage System under Time-of-use Pricing and a Demand Charge. CoRR abs/1407.3077 (2014) - 2013
- [j15]Yourim Yoon, Yong-Hyuk Kim:
Geometricity of genetic operators for real-coded representation. Appl. Math. Comput. 219(23): 10915-10927 (2013) - [j14]Yourim Yoon, Yong-Hyuk Kim:
An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks. IEEE Trans. Cybern. 43(5): 1473-1483 (2013) - 2012
- [j13]Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
A theoretical and empirical investigation on the Lagrangian capacities of the 0-1 multidimensional knapsack problem. Eur. J. Oper. Res. 218(2): 366-376 (2012) - [j12]Yourim Yoon, Yong-Hyuk Kim, Alberto Moraglio
A theoretical and empirical study on unbiased boundary-extended crossover for real-valued representation. Inf. Sci. 183(1): 48-65 (2012) - [j11]Yourim Yoon, Yong-Hyuk Kim, Alberto Moraglio
Quotient geometric crossovers and redundant encodings. Theor. Comput. Sci. 425: 4-16 (2012) - [c38]Jae-Hyun Seo
Genetic Feature Selection for Very Short-Term Heavy Rainfall Prediction. ICHIT (1) 2012: 312-322 - [c37]Kisung Seo, Soohwan Hyun, Yong-Hyuk Kim:
A Spanning Tree-Based Encoding of the MAX CUT Problem for Evolutionary Search. PPSN (1) 2012: 510-518 - 2011
- [j10]Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
A Note on Edge-based Graph Partitioning and its Linear Algebraic Structure. J. Math. Model. Algorithms 10(3): 269-276 (2011) - [c36]Alberto Moraglio
Geometric surrogate-based optimisation for permutation-based problems. GECCO (Companion) 2011: 133-134 - [c35]Jin Kim, Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon:
Genetic approaches for graph partitioning: a survey. GECCO 2011: 473-480 - 2010
- [j9]So-Yeong Jeon, Yong-Hyuk Kim:
A Genetic Approach to Analyze Algorithm Performance Based on the Worst-Case Instances. J. Softw. Eng. Appl. 3(8): 767-775 (2010) - [c34]Yong-Hyuk Kim, Yourim Yoon:
New theoretical findings in multiple personalized recommendations. SAC 2010: 94-98 - [c33]Yong-Hyuk Kim, Wonkook Kim, Kyungsub Min, Yourim Yoon:
Probabilistic context prediction using time-inferred multiple pattern networks. SAC 2010: 1015-1019
2000 – 2009
- 2009
- [j8]Sung-Pil Hong, Yong-Hyuk Kim:
A genetic algorithm for joint replenishment based on the exact inventory cost. Comput. Oper. Res. 36(1): 167-175 (2009) - [c32]Yong-Hyuk Kim, Yourim Yoon:
A New Kernighan-Lin-Type Local Search for the Quadratic Assignment Problem. CSC 2009: 185-189 - [c31]Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon:
Visualizing the search process of particle swarm optimization. GECCO 2009: 49-56 - [c30]Yong-Hyuk Kim, Yourim Yoon:
Representation and recombination over nonsingular binary matrices. GEC Summit 2009: 855-858 - [c29]Hyunmin Kim, Yong-Hyuk Kim:
Optimal designs of ambiguous mobile keypad with alphabetical constraints. GECCO 2009: 1931-1932 - [c28]Hyunmin Kim, Yong-Hyuk Kim:
A Genetic Algorithm for Mobile Keypad Designs with Alphabetical Constraints. GEM 2009: 275-280 - [i3]Yong-Hyuk Kim, Yourim Yoon:
A Note on Mathematical Modelling of Practical Multicampaign Assignment and Its Computational Complexity. CoRR abs/0906.5475 (2009) - [i2]Yourim Yoon, Yong-Hyuk Kim, Alberto Moraglio, Byung Ro Moon:
A Mathematical Unification of Geometric Crossovers Defined on Phenotype Space. CoRR abs/0907.3200 (2009) - [i1]Yourim Yoon, Yong-Hyuk Kim, Alberto Moraglio, Byung Ro Moon:
Mathematical Interpretation between Genotype and Phenotype Spaces and Induced Geometric Crossovers. CoRR abs/0907.3202 (2009) - 2008
- [j7]Jae-Hyun Seo
Optimal Sensor Deployment for Wireless Surveillance Sensor Networks by a Hybrid Steady-State Genetic Algorithm. IEICE Trans. Commun. 91-B(11): 3534-3543 (2008) - [j6]Yong-Hyuk Kim, Yourim Yoon:
Effect of Changing the Basis in Genetic Algorithms Using Binary Encoding. KSII Trans. Internet Inf. Syst. 2(4): 184-193 (2008) - [j5]Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon:
A Lagrangian Approach for Multiple Personalized Campaigns. IEEE Trans. Knowl. Data Eng. 20(3): 383-396 (2008) - [c27]Yong-Hyuk Kim:
Improved Implementation Choices for Iterative Improvement Partitioning Algorithms on Circuits. CDES 2008: 30-34 - [c26]Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
Feasibility-preserving crossover for maximum k-coverage problem. GECCO 2008: 593-598 - [c25]Yong-Hyuk Kim:
Linear transformation in Pseudo-Boolean functions. GECCO 2008: 1117-1118 - [c24]Yong-Hyuk Kim, Dong-ug Kim, Sejun Ahn:
Extracting Informative Sections of Web Documents Based on Scoring DOM Subtrees. International Conference on Internet Computing 2008: 321-324 - [c23]Yong-Hyuk Kim:
An Enzyme-Inspired Approach to Surmount Barriers in Graph Bisection. ICCSA (1) 2008: 841-851 - [c22]Jae-Hyun Seo
A genetic algorithm for sensor deployment based on two-dimensional operators. SAC 2008: 1812-1813 - 2007
- [j4]Alberto Moraglio
Geometric Crossovers for Multiway Graph Partitioning. Evol. Comput. 15(4): 445-474 (2007) - [c21]Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon:
Overcoming barriers by a cluster-moving genetic algorithm. GECCO 2007: 1520 - [c20]Yourim Yoon, Yong-Hyuk Kim, Alberto Moraglio
Geometric crossovers for real-code representation. GECCO 2007: 1539 - 2006
- [j3]Yong-Hyuk Kim, Byung Ro Moon:
Multicampaign Assignment Problem. IEEE Trans. Knowl. Data Eng. 18(2): 405-414 (2006) - [c19]Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon:
Multi-attractor gene reordering for graph bisection. GECCO 2006: 1209-1216 - [c18]Yong-Hyuk Kim, Yourim Yoon, Alberto Moraglio
Geometric crossover for multiway graph partitioning. GECCO 2006: 1217-1224 - [c17]Alberto Moraglio
Generalized cycle crossover for graph partitioning. GECCO 2006: 1421-1422 - 2005
- [c16]Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
An evolutionary lagrangian method for the 0/1 multiple knapsack problem. GECCO 2005: 629-635 - [c15]Yong-Hyuk Kim, Byung Ro Moon:
New topologies for genetic search space. GECCO 2005: 1393-1399 - 2004
- [j2]Yong-Hyuk Kim, Byung Ro Moon:
Lock-Gain Based Graph Partitioning. J. Heuristics 10(1): 37-57 (2004) - [j1]Yong-Hyuk Kim, Byung Ro Moon:
Investigation of the Fitness Landscapes in Graph Bipartitioning: An Empirical Study. J. Heuristics 10(2): 111-133 (2004) - [c14]Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon:
A Genetic Approach for Gene Selection on Microarray Expression Data. GECCO (1) 2004: 346-355 - [c13]Yong-Hyuk Kim, Byung Ro Moon:
Distance Measures in Genetic Algorithms. GECCO (2) 2004: 400-401 - [c12]Jong-Pil Kim, Yong-Hyuk Kim, Byung Ro Moon:
A Hybrid Genetic Approach for Circuit Bipartitioning. GECCO (2) 2004: 1054-1064 - [c11]Yong-Hyuk Kim, Byung Ro Moon:
Lagrange Multiplier Method for Multi-campaign Assignment Problem. GECCO (2) 2004: 1065-1077 - 2003
- [c10]Yong-Hyuk Kim, Yung-Keun Kwon, Byung Ro Moon:
Problem-Independent Schema Synthesis for Genetic Algorithms. GECCO 2003: 1112-1122 - [c9]Yong-Hyuk Kim, Byung Ro Moon:
Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning. GECCO 2003: 1123-1135 - [c8]Yong-Hyuk Kim, Byung Ro Moon:
New Usage of Sammon's Mapping for Genetic Visualization. GECCO 2003: 1136-1147 - [c7]Dong-il Seo, Yong-Hyuk Kim, Byung Ro Moon:
New Entropy-Based Measures of Gene Significance and Epistasis. GECCO 2003: 1345-1356 - [c6]Yong-Hyuk Kim, Seung-Kyu Lee, Byung Ro Moon:
Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm. GECCO 2003: 2168-2178 - [c5]Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon:
Finding the Optimal Gene Order in Displaying Microarray Data. GECCO 2003: 2215-2226 - [c4]Yong-Hyuk Kim, Byung Ro Moon:
Multi-campaign Assignment Problem and Optimizing Lagrange Multipliers. GECCO 2003: 2410-2411 - 2002
- [c3]Yong-Hyuk Kim, Byung Ro Moon:
Visualization Of The Fitness Landscape, A Steady-state Genetic Search, And Schema Traces. GECCO 2002: 686 - [c2]Eun-Jong Park, Yong-Hyuk Kim, Byung Ro Moon:
Genetic Search For Fixed Channel Assignment Problem With Limited Bandwidth. GECCO 2002: 1172-1179 - 2000
- [c1]Yong-Hyuk Kim, Byung Ro Moon:
A Hybrid Genetic Search for Graph Partitioning Based on Lock Gain. GECCO 2000: 167-174
Coauthor Index
Byung Ro Moon
aka: Byung-Ro Moon
aka: Byung-Ro Moon
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last updated on 2024-10-23 20:32 CEST by the dblp team
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