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3,261 to 3,270 of 3,632 Results
May 8, 2023
Freitas, Rodrigo Greggio; Pereira, Francisco Rafael da Silva; Reis, Aliny Aparecida dos; Magalhães, Paulo Sergio Graziano; Figueiredo, Gleyce Kelly Dantas Araújo; Amaral, Lucas Rios do, 2023, "Replication data for: estimating pasture aboveground biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images", https://doi.org/10.25824/redu/KDNCFJ, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset contains data used to generate results presented in the paper “Estimating aboveground pasture biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images (DOI/10.1016/j.compag.2022.107122)”. The research estimated...
Unknown - 382.2 KB - MD5: 2319b5cf0950af3662a9b9ab992131fa
Contains the reference sets, which are the best-known solutions for each test instance. Each file is structured as follows: each row contains an N-sized decision vector separated by semicolons, and the last values correspond to the objective function values. For example, if it is...
Unknown - 235.2 KB - MD5: 1c397bfd58ea8d0051754ce674f24876
Contains the test instances (TP1 to TP10) used in the experiments. For each test instance, three files are available: TP_k_F_m.txt, which contains the earnings of each decision variable for each scenario; TP_k_F_m_probabilities.txt, which contains the probability of occurrence fo...
Feb 17, 2023
Moraes, Matheus Bernardelli de; Coelho, Guilherme Palermo, 2023, "Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS", https://doi.org/10.25824/redu/ZXJOQ5, Repositório de Dados de Pesquisa da Unicamp, V1
This package contains the datasets, experimental results and source code of the paper Effects of the Random Forests Hyper-Parameters in Surrogate Models for Multi-Objective Combinatorial Optimization: A Case Study using MOEA/D-RFTS. The following files are included: File datasets...
Unknown - 3.3 MB - MD5: 09ef2924b5be3be70f5465d8feb475d4
Contains the datasets to train and test the Random Forest in an online learning process on the problems Binary Multi-Objective Knapsack Problem (BIN_MOKP), Binary Multi-Objective Unconstrained Combinatorial Optimization Problem (BIN_MUCOP) and Integer Multi-Objective Unconstraine...
Unknown - 3.9 MB - MD5: 66fd6ddbc0885f86a1c7bc294aeb187c
Experimental results of both prediction and optimization.
Unknown - 3.5 MB - MD5: e8acbcdf89ca9c4dbb27fce9a8a1a5ae
Source code (in Python) with the implementations of the algorithms MOEA/D, MOEA/D-NFTS and MOEA/D-RFTS. It also includes the test instances of the benchmark problems.
Jan 30, 2023
Vidotto, Danilo Corsi; Tavares, Guilherme Miranda, 2023, "Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid"", https://doi.org/10.25824/redu/0K5ZPE, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:QekTJfjcrp3FdSENIsMpTg== [fileUNF]
Raw data of the PhD thesis "Whey proteins: protein structure, foaming properties and ability to bind lutein and folic acid"
Tabular Data - 700 B - 16 Variables, 6 Observations - UNF:6:2gPQxJYYDYGxUNVhiGBFTg==
Raw data
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