Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Mario García Valdez"'
Publikováno v:
Biomimetics, Vol 9, Iss 8, p 476 (2024)
In this paper, we aim to enhance genetic algorithms (GAs) by integrating a dynamic model based on biological life cycles. This study addresses the challenge of maintaining diversity and adaptability in GAs by incorporating stages of birth, growth, re
Externí odkaz:
https://doaj.org/article/142708e75d0849a595d011ce8d2246e9
Publikováno v:
Symmetry, Vol 15, Iss 2, p 467 (2023)
Designing a controller is typically an iterative process during which engineers must assess the performance of a design through time-consuming simulations; this becomes even more burdensome when using a population-based metaheuristic that evaluates e
Externí odkaz:
https://doaj.org/article/4ad74857927c4b93890522438bd397d9
Publikováno v:
Symmetry, Vol 14, Iss 2, p 202 (2022)
In this work, we propose, through the use of population-based metaheuristics, an optimization method that solves the problem of autonomous path tracking using a rear-wheel fuzzy logic controller. This approach enables the design of controllers using
Externí odkaz:
https://doaj.org/article/7b2f8e779e6247bdba541cfa8dc2e3ca
Publikováno v:
Frontiers in Robotics and AI, Vol 4 (2018)
Cloud computing is currently the prevailing mode of designing, creating, and deploying complex applications, and it has implied a paradigm shift in all three areas; even if it taps and extends previous concepts such as service oriented, concurrent, a
Externí odkaz:
https://doaj.org/article/d3a14f30eeb84fa18c3f1e5499078d7e
Publikováno v:
Future Generation Computer Systems. 116:234-252
Splitting a population into multiple instances is a technique used extensively in recent years to help improve the performance of nature-inspired optimization algorithms. Work on those populations can be done in parallel, and they can interact asynch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e1050a00ec68ae2b085d89fb7a2c6b
https://doi.org/10.1016/j.future.2020.10.039
https://doi.org/10.1016/j.future.2020.10.039
Autor:
Perla Juárez-Smith, Leonardo Trujillo, Mario García-Valdez, Francisco Fernández de Vega, Francisco Chávez
Publikováno v:
Mathematical and Computational Applications, Vol 24, Iss 3, p 78 (2019)
This work presents a unique genetic programming (GP) approach that integrates a numerical local search method and a bloat-control mechanism within a distributed model for evolutionary algorithms known as EvoSpace. The first two elements provide a dir
Externí odkaz:
https://doaj.org/article/5ea1e85c18034b2fb6c806070194a7da
Autor:
Mario García-Valdez, Amaury Hernandez-Aguila, Oscar Castillo Lopez, Manuel Castañón-Puga, Juan-Julián Merelo-Guervós
Publikováno v:
IEEE Access, Vol 9, Pp 69391-69404 (2021)
This paper presents a method for creating Forex market predictive models using multi-agent and fuzzy systems, which have the objective of simulating the interactions that provoke changes in the price. Agents in the system represent traders performing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7251f0a0efeaaf62d902e08dd6a3c9e6
https://ieeexplore.ieee.org/document/9424586/
https://ieeexplore.ieee.org/document/9424586/
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031082658
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d370121ec7e20d5dbebf411a4934699f
https://doi.org/10.1007/978-3-031-08266-5_20
https://doi.org/10.1007/978-3-031-08266-5_20
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031082658
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f05354b1ebd0d10b1173c1c7a9875de
https://doi.org/10.1007/978-3-031-08266-5_8
https://doi.org/10.1007/978-3-031-08266-5_8
Publikováno v:
CEC
Synchronous operation is not the most natural, as in biologically inspired, mode to run distributed algorithms. In many grid, cloud or volunteer setups nodes are heterogeneous, or simply are not available at the exact same time; this is a challenge f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd34c329e428708ee3fd4f170da9af8a
https://doi.org/10.1109/cec45853.2021.9504880
https://doi.org/10.1109/cec45853.2021.9504880