Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ernesto Liñán-García"'
Publikováno v:
In Ingeniería, Investigación y Tecnología October-December 2016 17(4):479-490
Publikováno v:
Programación Matemática y Software, Vol 6, Iss 2 (2014)
A new hybrid algorithm for solving the capacitated vehicle routing problem (CVRP) with stochastic demands is proposed. This new approach combines the simulated annealing (SA) with the savings algorithms and is implemented to obtain results of several
Externí odkaz:
https://doaj.org/article/df2b3e1cae664801a6626378da9b4798
Autor:
Andrea Isabel Cervantes-Payan, Jesús Aguirre-García, Ernesto Liñán-García, Edgar Osvaldo Escobedo-Hernández, Helue I. De la Barrera-Gómez, Ana Laura Vázquez-Esquivel, Luis A. López-Alday
In this chapter, a new multi-phases meta-heuristic algorithm based on Simulated Annealing(SA) is proposed in order to solve the Capacitated Vehicle Routing Problem (CVRP) with stochastic demands. This algorithm is named Multi-Phases Simulated Anneali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4fed6f2d12ff9b5bf38aba66a35ec55
https://doi.org/10.4018/978-1-5225-2990-3.ch022
https://doi.org/10.4018/978-1-5225-2990-3.ch022
Autor:
Ernesto Liñán-García, Juan Frausto-Solís, Fanny G. Maldonado-Nava, Juan Javier González Barbosa, Juan Paulo Sánchez-Hernández
Publikováno v:
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications ISBN: 9783319710075
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Protein Folding Problem (PFP) is one of the most challenging problems of combinatorial optimization with applications in bioinformatics and molecular biology. The aim of PFP is to find the three-dimensional structure of a protein, this structure is k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25b3d25dceff859d8106a908945ea820
https://doi.org/10.1007/978-3-319-71008-2_32
https://doi.org/10.1007/978-3-319-71008-2_32
Autor:
Ernesto Liñán-García, Juan Frausto-Solís, Juan Javier González-Barbosa, Guadalupe Castilla-Valdez, David Terán-Villanueva, Anylu Melo-Vega
Publikováno v:
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications ISBN: 9783319710075
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Protein Folding Problem (PFP) is a computational challenge with many implications in bioinformatics and computer science. This problem consists in determining the biological and functional three-dimensional structure of the atoms of the amino acid se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8406a64879ea1291b3fa83aadf400cc2
https://doi.org/10.1007/978-3-319-71008-2_12
https://doi.org/10.1007/978-3-319-71008-2_12
Publikováno v:
Programación Matemática y Software. 6:36-45
Se propone un nuevo algoritmo híbrido para resolver el problema de ruteo de vehículos de capacidad (CVRP en inglés) con demanda estocástica. Este nuevo enfoque combina los algoritmos de recocido simulado (RS) y de ahorro y es implementado para ob
Autor:
Mishael Sánchez-Pérez, Juan Paulo Sánchez-Hernández, Juan Frausto-Solís, Ernesto Liñán-García
Publikováno v:
Computational and Applied Mathematics. 32:471-482
In this paper, Threshold Temperature Simulated Annealing algorithm (TTSA) is presented. TTSA is an algorithm based on the classical Simulated Annealing Algorithm (SA) and a reheat technique. This algorithm was devised for the problem known as Protein
Autor:
Ernesto Liñán-García, Juan Frausto-Solís, Guadalupe Castilla-Valdez, Carlos Gonzalez-Flores, J. Javier González-Barbosa, Juan Paulo Sánchez-Hernández
Publikováno v:
Advances in Bioinformatics, Vol 2016 (2016)
Advances in Bioinformatics
Advances in Bioinformatics
A new hybrid Multiphase Simulated Annealing Algorithm using Boltzmann and Bose-Einstein distributions (MPSABBE) is proposed. MPSABBE was designed for solving the Protein Folding Problem (PFP) instances. This new approach has four phases: (i) Multique
In this chapter, a hybrid meta-heuristic algorithm is proposed, which is based on simulated annealing in order to solve the Vehicle Routing Problem (VRP) with stochastic demands. The proposed algorithm has several annealing phases, which are named Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a67a0fb58d11dcf80027cf24506ef4df
https://doi.org/10.4018/978-1-4666-9779-9.ch018
https://doi.org/10.4018/978-1-4666-9779-9.ch018
Autor:
Juan Frausto-Solís, Juan Paulo Sánchez-Hernández, Mishael Sánchez-Pérez, Ernesto Liñán-García
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The Scientific World Journal
The Scientific World Journal
The Chaotic Multiquenching Annealing algorithm (CMQA) is proposed. CMQA is a new algorithm, which is applied to protein folding problem (PFP). This algorithm is divided into three phases: (i) multiquenching phase (MQP), (ii) annealing phase (AP), and