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Publication search results
found 146 matches
- 2023
- Miguel García-Torres, Roberto Ruiz, Federico Divina:
Evolutionary feature selection on high dimensional data using a search space reduction approach. Eng. Appl. Artif. Intell. 117(Part): 105556 (2023) - Pengfei Qian, Hui Luo, Lei Liu, Pansong Lv, Chenwei Pu, Deyuan Meng, Luis Miguel Ruiz Páez:
A hybrid Gaussian mutation PSO with search space reduction and its application to intelligent selection of piston seal grooves for homemade pneumatic cylinders. Eng. Appl. Artif. Intell. 122: 106156 (2023) - Lei Zhang, Kaicong Ma, Haipeng Yang, Cheng Zhang, Haiping Ma, Qi Liu:
A Search Space Reduction-Based Progressive Evolutionary Algorithm for Influence Maximization in Social Networks. IEEE Trans. Comput. Soc. Syst. 10(5): 2385-2399 (2023) - Haoyu Wang, Jennifer A. Miller:
How to Improve Joint Suitability Mapping for Search Space Reduction? (Short Paper). GIScience 2023: 77:1-77:6 - Amisha Srivastava, Chao Lu, Navnil Choudhury, Ayush Arunachalam, Kanad Basu:
Search Space Reduction for Efficient Quantum Compilation. ACM Great Lakes Symposium on VLSI 2023: 109-114 - Kartik Punjabi, Imran Haider, Goutam Sen:
Combinatorial Search Space Reduction Approach In Aircraft Schedule Recovery Problem. IEEM 2023: 697-701 - Mikel Garcia de Andoin, Alberto Bottarelli, Sebastian Schmitt, Izaskun Oregi, Philipp Hauke, Mikel Sanz:
Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic. ITSC 2023: 5318-5323 - Ruturaj Reddy, Utkarsh Gupta, Ishaan R. Kale, Apoorva S. Shastri, Anand J. Kulkarni:
Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems. CoRR abs/2310.03055 (2023) - Luka Grbcic, Juliane Müller, Wibe Albert de Jong:
Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies. CoRR abs/2312.03654 (2023) - 2022
- Benjamin Merlin Bumpus, Bart M. P. Jansen, Jari J. H. de Kroon:
Search-Space Reduction via Essential Vertices. ESA 2022: 30:1-30:15 - Shengrui Peng, Helena Szczerbicka:
A Self-Adaptive Search Space Reduction Approach for Offshore Wind Farm Installation using Multi-Installation Vessels. WSC 2022: 760-771 - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases. WSDM 2022: 172-180 - Benjamin Merlin Bumpus, Bart M. P. Jansen, Jari J. H. de Kroon:
Search-Space Reduction via Essential Vertices. CoRR abs/2207.00386 (2022) - 2021
- An-Da Li, Bing Xue, Mengjie Zhang:
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies. Appl. Soft Comput. 106: 107302 (2021) - Aeidapu Mahesh, Gangireddy Sushnigdha:
A novel search space reduction optimization algorithm. Soft Comput. 25(14): 9455-9482 (2021) - 2020
- Abbas Raza Ali:
Meta-level learning for the effective reduction of model search space. Bournemouth University, Poole, UK, 2020 - Seongjae Lee, Taehyoun Kim:
Search Space Reduction for Determination of Earthquake Source Parameters Using PCA and k-Means Clustering. J. Sensors 2020: 8826634:1-8826634:12 (2020) - Luca Mariot, Luca Manzoni, Alberto Dennunzio:
Search space reduction of asynchrony immune cellular automata. Nat. Comput. 19(2): 287-293 (2020) - 2019
- Wenjie Lu, Dikai Liu:
A Scalable Sampling-Based Optimal Path Planning Approach via Search Space Reduction. IEEE Access 7: 153921-153935 (2019) - Yukiko Orito, Yoshiko Hanada, Junzhi Li:
Search Space Reduction Model with Trigonometric Function for Linear Equality Constraint-handling: The Case of Portfolio Replication Problem. CEC 2019: 1074-1080 - Juan Camilo Pareja Corcho, Oscar Mauricio Betancur Acosta, Oscar E. Ruiz, Carlos A. Cadavid:
User-reconfigurable CAD Feature Recognition in 1- and 2-topologies with Reduction of Search Space via Geometry Filters. CEIG 2019: 69-72 - Peng Zhang, Shuyou Zhang, Guodong Yi, Lemiao Qiu:
Surrogate-Assisted Particle Swarm Optimization using Space Reduction and Global Search. HPCS 2019: 107-112 - Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park:
TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling. VAST 2019: 35-45 - Salisu Garba, Radziah Mohamad, Nor Azizah Saadon:
Search Space Reduction Approach for Self-adaptive Web Service Discovery in Dynamic Mobile Environment. IRICT 2019: 1111-1121 - Gwonjin Yi, Junghoon Jee:
Search Space Reduction In Motion Matching by Trajectory Clustering. SIGGRAPH Asia Posters 2019: 4:1-4:2 - Arthur F. Da Costa, Rafael Martins D'Addio, Eduardo P. Fressato, Marcelo G. Manzato:
A personalized clustering-based approach using open linked data for search space reduction in recommender systems. WebMedia 2019: 409-416 - Luca Mariot, Luca Manzoni, Alberto Dennunzio:
Search Space Reduction of Asynchrony Immune Cellular Automata by Center Permutivity. CoRR abs/1901.01534 (2019) - Amaury Van Bemten, Jochen W. Guck, Carmen Mas Machuca, Wolfgang Kellerer:
Bounded Dijkstra (BD): Search Space Reduction for Expediting Shortest Path Subroutines. CoRR abs/1903.00436 (2019) - Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park:
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling. CoRR abs/1907.12079 (2019) - 2018
- Sang Won Choi, Won-Yong Shin, Juyeop Kim:
Linear Algebraic Beamforming Design for Multiuser MISO Interference Channels: A Reduction in Search Space Dimension. Entropy 20(6): 431 (2018)
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