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Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
(Elsevier B.V., 2019)
Uncertainty propagation in fuzzy grey cognitive maps with hebbian-like learning algorithms
(Institute of Electrical and Electronics Engineers Inc., 2019)
A teaching-learning-based optimization algorithm for solving set covering problems
(Springer Verlag, 2015)
Recent harmony search algorithms for 0–1 optimization problems
(Springer Verlag, 2015)
A hybrid evolutionary algorithm based on adaptive mutation and crossover for collaborative learning team formation in higher education
(Springer, 2017-10)
In this paper, we address a collaborative learning team formation problem in higher education environments. This problem considers a grouping criterion successfully evaluated in a wide variety of higher education courses ...
Lazy multi-label learning algorithms based on mutuality strategies
(SpringerDordrecht, 2015-12)
Lazy multi-label learning algorithms have become an important research topic within the multi-label community. These algorithms usually consider the set of standard k-Nearest Neighbors of a new instance to predict its ...
Collaborative Learning Team Formation Considering Team Roles: An Evolutionary Approach based on Adaptive Crossover, Mutation and Simulated Annealing
(National Polytechnic Institute, 2018-04)
In this paper, a hybrid evolutionary algorithm is proposed to solve a collaborative learning team formation problem in higher education contexts. This problem involves a grouping criterion evaluated satisfactorily in a ...
A fuzzy backpropagation algorithm
(2011-06-14)
This paper presents an extension of the standard backpropagation algorithm (SBP). The proposed learning algorithm is based on the fuzzy integral of Sugeno and thus called fuzzy backpropagation (FBP) algorithm. Necessary ...
Dimensionality reduction for the algorithm recommendation problem
(2018-12-13)
Given the increase in data generation, as many algorithms have become available in recent years, the algorithm recommendation problem has attracted increasing attention in Machine Learning. This problem has been addressed ...