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Introducing a Parallel Genetic Algorithm for Global Optimization Problems
AppliedMathThe topic of efficiently finding the global minimum of multidimensional functions is widely applicable to numerous problems in the modern world. Many algorithms have been proposed to address these problems, among which genetic algorithms and their ...
Vasileios Charilogis, Ioannis G. Tsoulos
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Performance Comparison Of Evolutionary Algorithms For Image Clustering [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Evolutionary computation tools are able to process real valued numerical sets in order to extract suboptimal solution of designed problem. Data clustering algorithms have been intensively used for image segmentation in remote sensing applications ...
P. Civicioglu +5 more
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Classification Based on Brain Storm Optimization With Feature Selection
IEEE Access, 2021 Classification is one of the most classic problems in machine learning. Due to the global optimization ability, evolutionary computation (EC) techniques have been successfully applied to solve many problems and the evolutionary classification model is ...
Yu Xue, Yan Zhao, Adam Slowik
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Visual Analysis Scenarios for Understanding Evolutionary Computational Techniques’ Behavior
Information, 2019 Machine learning algorithms are used in many applications nowadays. Sometimes, we need to describe how the decision models created output, and this may not be an easy task.
Aruanda Meiguins +4 more
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A Review on the Unit Commitment Problem: Approaches, Techniques, and Resolution Methods
Energies, 2022 Optimizing the schedule of thermal generators is probably the most important task when the operation of power systems is managed. This issue is known as the unit commitment problem in operational research. It has been profoundly studied in the literature,
Luis Montero +2 more
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Application of Multiobjective Evolutionary Techniques for Robust Portfolio Optimization
International Journal of Interactive Multimedia and Artificial Intelligence, 2013 On December 20 of 2012 Sandra García Rodríguez defended his PhD at Carlos III of Madrid (Spain), called: “Application of Multiobjective Techniques for Robust Portfolio Optimization”. This thesis was supervised by Dr. David Quintana Montero and Dr. Inés M.
Sandra Garcia Rodriguez
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La evolución de técnicas y fenómenos: hacia una explicación de la "confección" del mundo
Crítica, 2019 In recent articles some authors (e.g. Pickering 1989, Hacking 1992) have pointed out a process of gradual adjustment or tailoring between phenomena, models and experimental techniques.
Sergio F. Martínez, Edna Suárez
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The Evolutionary Code Cesam: Numerical Techniques [PDF]
International Astronomical Union Colloquium, 1993 AbstractCESAM is a consistent set of programs and routines designed for the calculations of stellar evolution. Untill now it allows the computation of the evolution from PMS or ZAMS to helium flash for stellar masses of some solar mass. It is constructed in such a way that all the physics works as external routines.
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Investigation on Evolutionary Computation Techniques of a Nonlinear System
Modelling and Simulation in Engineering, 2011 The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system.
Tran Trong Dao
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New Molecular Genetic Techniques for the Inference of Evolutionary Relationships
Acta Biologica Slovenica, 1991 Molecular genetic techniques have advanced greatly in the last few years, and provided powerful tools for phylogenetic research. The two most important methods for characterising nucleic acids are restriction-enzyme fragment analysis, and nucleotide ...
Adam Marchant
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