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GA and CHC. Two Evolutionary Algorithms to Solve the Root Identification Problem in Geometric Constraint Solving.

, , , and . International Conference on Computational Science, volume 3039 of Lecture Notes in Computer Science, page 139-146. Springer, (2004)

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Searching the Solution Space in Constructive Geometric Constraint Solving with Genetic Algorithms., , , and . Appl. Intell., 22 (2): 109-124 (2005)ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries., , , and . Knowl. Based Syst., (2021)Consensus vote models for detecting and filtering neutrality in sentiment analysis., , , and . Inf. Fusion, (2018)An adjustment model in a geometric constraint solving problem., , and . SAC, page 968-973. ACM, (2006)Design of cultural heritage information systems based on information layers., , , and . ACM Journal on Computing and Cultural Heritage, 6 (4): 15:1-15:17 (2013)Modeling the Performance of Evolutionary Algorithms on the Root Identification Problem: A Case Study with PBIL and CHC Algorithms., , and . Evol. Comput., 19 (1): 107-135 (2011)What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules., , , , , , and . J. Ambient Intell. Humaniz. Comput., 11 (1): 39-52 (2020)Parameter tuning of PBIL and CHC evolutionary algorithms applied to solve the Root Identification Problem., , and . Appl. Soft Comput., 11 (1): 754-767 (2011)A model for parameter setting based on Bayesian networks., , and . Eng. Appl. Artif. Intell., 21 (1): 14-25 (2008)Dynamic Federated Learning Model for Identifying Adversarial Clients., , , , , and . CoRR, (2020)