Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alfonso Murillo-Suarez"'
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 7, Iss 29 (2020)
In this article, we present a modified version of the Firefly Algorithm implemented in a multi-threaded modelto improve the results obtained by the original algorithm significantly. This multi-threaded algorithm allowsthe threads to obtain different
Externí odkaz:
https://doaj.org/article/53aa15815a3d41b1a474b6d7434f2972
Publikováno v:
Procedia Computer Science. 179:432-439
This paper presents a Multi-threaded version of the Spotted Hyena Optimizer algorithm with thread-crossing techniques (MT-SHO) to improve the ability of the algorithm to explore the search space. The original algorithm is inspired by the hunting beha
Publikováno v:
Procedia Computer Science. 179:440-447
The Salp swarm algorithm (SSA) is one of the most recent metaheuristic optimization algorithms. SSA has been used successfully to solve optimization problems in different research areas such as machine learning, engineering design, wireless networks,
Autor:
Felix Martinez-Rios, Alfonso Murillo-Suarez, Jose A. Marmolejo-Saucedo, César R. García-Jacas
Publikováno v:
Mobile Networks and Applications. 25:2105-2117
In this paper, the authors present a new algorithm efficient solution to the packing problem in two dimensions. The authors propose a new heuristic using the value of the electromagnetic field to determine the best position to place a circular object
Publikováno v:
Wireless Networks. 26:5631-5644
This paper introduces a faster and more efficient algorithm for solving a two-dimension packing problem. This common optimization problem takes a set of geometrical objects and tries to find the best form of packing them in a space with specific char
Autor:
César R. García-Jacas, Alfonso Murillo-Suarez, Juan Manuel Guerrero-Valadez, Felix Martinez-Rios
Publikováno v:
Computer Science and Health Engineering in Health Services ISBN: 9783030698386
In this paper, we present an improvement of the Gray Wolf algorithm (GWO) based on a multi-threaded implementation of the original algorithm. The paper demonstrates how to combine the solutions obtained in each of the threads to achieve a final solut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::193c374440e91ef9f66be235acece74e
https://doi.org/10.1007/978-3-030-69839-3_11
https://doi.org/10.1007/978-3-030-69839-3_11
Publikováno v:
Data Analysis and Optimization for Engineering and Computing Problems ISBN: 9783030481483
In this chapter, a new optimization algorithm is introduced, inspired by the Firefly Algorithm, which is based on the behavior of fireflies, especially on their flashing characteristics. This new algorithm runs C parallel executions of the algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1726efa0cfbfe4ce4fe95590c14ffec0
https://doi.org/10.1007/978-3-030-48149-0_1
https://doi.org/10.1007/978-3-030-48149-0_1
Publikováno v:
Procedia Computer Science. 135:449-456
This paper presents a new algorithm, PCLPSO, based on particle swarm optimization, which uses comprehensive learning particle swarm optimizer. Our algorithm executes C parallel CLPSO algorithms. We adopted as a criterion of completion a maximum value
Publikováno v:
2018 Nanotechnology for Instrumentation and Measurement (NANOfIM).
In this paper, we present a new algorithm for the fast and efficient solution of the Packing problem in two dimensions. The packing problem consists in finding the best arrangement of objects (many geometrical forms) in a specific space called contai