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Use of the q-Gaussian mutation in evolutionary algorithms
(SPRINGER, 2011)
This paper proposes the use of the q-Gaussian mutation with self-adaptation of the shape of the mutation distribution in evolutionary algorithms. The shape of the q-Gaussian mutation distribution is controlled by a real ...
The Evolutionary Radiation of Hominids: a Phylogenetic Comparative Study
(Nature Publishing Group, 2019-12)
Over the last 150 years the diversity and phylogenetic relationships of the hominoids have been one of the main focuses in biological and anthropological research. Despite this, the study of factors involved in their ...
Evolutionary stages of environmental management in computer companies located in Brazil: case studies
(2014)
This study aims at identifying which environmental management practices computer companies located in Brazil are adopting, and classifying these companies according to the evolutionary stages of environmental management. ...
Harmonic Distortion State Estimation Using an Evolutionary Strategy
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
This paper presents a new methodology to estimate harmonic distortions in a power system, based on measurements of a limited number of given sites. The algorithm utilizes evolutionary strategies (ES), a development branch ...
A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of highly-reliable Bayesian networks from data as quickly as possible is one of ...
Payoff Nonmonotonic Dynamics in An Evolutionary Game
(World Scientific, 2016-05)
We propose an evolutionary game with dynamics rules derived from the consideration of field observations on human social behavior driven by self-confidence and social imitation. This dynamics turns out to be payoff ...
Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System
(Institute of Electrical and Electronics Engineers, 2019-12)
This paper proposes a novel metaheuristic framework using a Differential Evolution (DE) algorithm with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Both algorithms are combined employing a collaborative strategy ...
Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ‘ESS
(Centro Latinoamericano de Estudios en Informática, 2014)