• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 180 matches

• 2021
• 
  Huynh Thi Thanh Binh, Ta Bao Thang, Nguyen Duc Thai, Pham Dinh Thanh:
  A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization. Eng. Appl. Artif. Intell. 100: 104187 (2021)
• 
  Dimitri Lefebvre, Francesco Basile:
  An approach based on timed Petri nets and tree encoding to implement search algorithms for a class of scheduling problems. Inf. Sci. 559: 314-335 (2021)
• 
  Hao Tang, Donghong Ji, Qiji Zhou:
  Triple-based graph neural network for encoding event units in graph reasoning problems. Inf. Sci. 544: 168-182 (2021)
• 
  David Rodríguez Rueda, Carlos Cotta, Antonio José Fernández Leiva:
  Metaheuristics for the template design problem: encoding, symmetry and hybridisation. J. Intell. Manuf. 32(2): 559-578 (2021)
• 
  Huynh Thi Thanh Binh, Ta Bao Thang, Nguyen Duc Thai, Pham Dinh Thanh:
  A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization. CoRR abs/2102.09954 (2021)
• 2020
• 
  Alexander E. I. Brownlee, Jonathan A. Wright, Miaomiao He, Timothy Lee, Paul McMenemy:
  A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements. Appl. Soft Comput. 96: 106650 (2020)
• 
  Miquel Bofill, Jordi Coll, Josep Suy, Mateu Villaret:
  SMT encodings for Resource-Constrained Project Scheduling Problems. Comput. Ind. Eng. 149: 106777 (2020)
• 
  Haojie Ding, Xingsheng Gu:
  Improved particle swarm optimization algorithm based novel encoding and decoding schemes for flexible job shop scheduling problem. Comput. Oper. Res. 121: 104951 (2020)
• 
  Kevin J. Peterson, Guoqian Jiang, Hongfang Liu:
  A corpus-driven standardization framework for encoding clinical problems with HL7 FHIR. J. Biomed. Informatics 110: 103541 (2020)
• 
  Mohammed Eshtay, Hossam Faris, Nadim Obeid:
  A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems. Int. J. Mach. Learn. Cybern. 11(8): 1801-1823 (2020)
• 
  Joram Soch, Carsten Allefeld, John-Dylan Haynes:
  Inverse transformed encoding models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding. NeuroImage 209: 116449 (2020)
• 
  Neng-Fa Zhou:
  In Pursuit of an Efficient SAT Encoding for the Hamiltonian Cycle Problem. CP 2020: 585-602
• 
  Katalin Fazekas, Markus Sinnl, Armin Biere, Sophie N. Parragh:
  Duplex Encoding of Staircase At-Most-One Constraints for the Antibandwidth Problem. CPAIOR 2020: 186-204
• 
  Yuta Kawachi, Teppei Suzuki:
  Unsupervised Auto-Encoding Multiple-Object Tracker for Constraint-Consistent Combinatorial Problem. ICASSP 2020: 6054-6058
• 
  Pierre Tassel, Martin Gebser, Mohamed Rbaia:
  An ASP Multi-Shot Encoding for the Aircraft Routing and Maintenance Planning Problem. ICLP Workshops 2020
• 
  Claudia Vasconcellos-Gaete, Vincent Barichard, Frédéric Lardeux:
  Abacus: A New Hybrid Encoding for SAT Problems. ICTAI 2020: 145-152
• 
  Aolong Zha, Rongxuan Gao, Qiong Chang, Miyuki Koshimura, Itsuki Noda:
  CNF Encodings for the Min-Max Multiple Traveling Salesmen Problem. ICTAI 2020: 285-292
• 2019
• 
  Ali Chaouche, Menouar Boulif:
  Solving the unsupervised graph partitioning problem with genetic algorithms: Classical and new encoding representations. Comput. Ind. Eng. 137 (2019)
• 
  Ruey-Maw Chen, Yin-Mou Shen, Wei-Zhi Hong:
  Neural-like encoding particle swarm optimization for periodic vehicle routing problems. Expert Syst. Appl. 138 (2019)
• 
  Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
  Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search. Inf. Sci. 500: 173-189 (2019)
• 
  Konstantinos Liagkouras:
  A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem. Knowl. Based Syst. 163: 186-203 (2019)
• 
  Yichao He, Jinghong Wang, Xinlu Zhang, Huanzhe Li, Xuejing Liu:
  Encoding transformation-based differential evolution algorithm for solving knapsack problem with single continuous variable. Swarm Evol. Comput. 50 (2019)
• 
  Sadra Sadraddini, Russ Tedrake:
  Linear Encodings for Polytope Containment Problems. CDC 2019: 4367-4372
• 
  Sushmita Gupta, Saket Saurabh, Ramanujan Sridharan, Meirav Zehavi:
  On Succinct Encodings for the Tournament Fixing Problem. IJCAI 2019: 322-328
• 
  Maike Basmer, Timo Kehrer:
  Encoding Adaptability of Software Engineering Tools as Algorithm Configuration Problem: A Case Study. ASE Workshops 2019: 86-89
• 
  Dimitra Trachanatzi, Manousos Rigakis, Andromachi Taxidou, Magdalene Marinaki, Yannis Marinakis, Nikolaos F. Matsatsinis:
  A Novel Solution Encoding in the Differential Evolution Algorithm for Optimizing Tourist Trip Design Problems. LION 2019: 253-267
• 
  Liu Liu, Miroslaw Truszczynski:
  Encoding Selection for Solving Hamiltonian Cycle Problems with ASP. ICLP Technical Communications 2019: 302-308
• 
  Sadra Sadraddini, Russ Tedrake:
  Linear Encodings for Polytope Containment Problems. CoRR abs/1903.05214 (2019)
• 
  Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao:
  Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. CoRR abs/1910.06611 (2019)
• 2018
• 
  Artur Niewiadomski, Piotr Switalski, Teofil Sidoruk, Wojciech Penczek:
  SMT-Solvers in Action: Encoding and Solving Selected Problems in NP and EXPTIME. Sci. Ann. Comput. Sci. 28(2): 269-288 (2018)

skipping 150 more matches