Zobrazeno 1 - 10
of 102
pro vyhledávání: '"María-Cristina Riff"'
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10644 (2024)
The path planning problem using mobile robots, also known as robot motion planning, is a key problem in robotics. The goal is to find a collision-free path from a starting point to a target point in an environment with obstacles. These obstacles can
Externí odkaz:
https://doaj.org/article/ad5274fbf8154198af88ed223583904c
Publikováno v:
IEEE Access, Vol 8, Pp 1303-1313 (2020)
IEEE Access
IEEE Access, IEEE, 2019, pp.1-1. ⟨10.1109/ACCESS.2019.2960492⟩
IEEE Access
IEEE Access, IEEE, 2019, pp.1-1. ⟨10.1109/ACCESS.2019.2960492⟩
We present a hyper-heuristic approach to solve Orienteering Problem with Hotel Selection (OPHS). In practical applications, OPHS appears when a tourist is planning to visit various attractions and there is not enough time to reach all of them in a si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f873fded6ed81cd7b80380c0338f73c
https://ieeexplore.ieee.org/document/8935153/
https://ieeexplore.ieee.org/document/8935153/
Publikováno v:
IEEE Access, Vol 8, Pp 88815-88829 (2020)
Optimizing the usage of resources is an important topic in the development of technologies and computational services. The Google Machine Reassignment Problem is an NP-hard problem that is related to this crucial situation, based on the assignation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::def50618150c855bdd116847ef499dcf
https://ieeexplore.ieee.org/document/9090834/
https://ieeexplore.ieee.org/document/9090834/
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b06e543b81b473bd06966dd947b20e5
https://doi.org/10.2139/ssrn.4216425
https://doi.org/10.2139/ssrn.4216425
Autor:
Elizabeth Montero, María Cristina Riff
Publikováno v:
Soft Computing. 24:5019-5041
Parameter setting problem has demonstrated being a relevant problem related to the use of metaheuristics. ParamILS and I-Race are sophisticated tuning methods that can provide valuable information for designers as well as manage conditional parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2fca3c0774e4f4f85eec3a8b1378131
https://doi.org/10.1007/s00500-019-04252-4
https://doi.org/10.1007/s00500-019-04252-4
Autor:
Elizabeth Montero, Adriana Menchaca-Mendez, Carlos A. Coello Coello, Saúl Zapotecas-Martínez, María Cristina Riff, Luis Miguel Antonio
Publikováno v:
IEEE Access, Vol 7, Pp 18267-18283 (2019)
Convergence and diversity of solutions play an essential role in the design of multi-objective evolutionary algorithms (MOEAs). Among the available diversity mechanisms, the $\epsilon $ -dominance has shown a proper balance between convergence and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93b352c4799d17bf6aa38508dec292fc
https://ieeexplore.ieee.org/document/8637162/
https://ieeexplore.ieee.org/document/8637162/
Publikováno v:
Expert Systems with Applications. 198:116822
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e49859093eb2fca13d58b592d6d52b1c
https://doi.org/10.1016/j.eswa.2022.116822
https://doi.org/10.1016/j.eswa.2022.116822
Autor:
Javier Maldonado, María Cristina Riff
Publikováno v:
GECCO Companion
Detect attacks is a major problem in cybersecurity, due to its wide variety of types, behaviors and dynamic structure. In this paper, we include a special crossover operator, which considers the features importance, providing additional information t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e23233fd78969dec2979ece1c8a1dbd0
https://doi.org/10.1145/3377929.3390021
https://doi.org/10.1145/3377929.3390021
Publikováno v:
CEC
Most of the algorithms designed for problem solving have many parameters which values determine their performance. Tuning methods or calibrators are algorithms whose goal is to automate the process of selecting the parameter values of heuristic based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ebb279325a9ddd13d2b6e4217b1f834
https://doi.org/10.1109/cec48606.2020.9185746
https://doi.org/10.1109/cec48606.2020.9185746
Publikováno v:
Engineering Applications of Artificial Intelligence. 76:108-118
ParamILS, I-Race and Evoca are well-known tuning methods designed to search quality parameter calibrations for metaheuristic algorithms. The set-up of parameter search space can strongly affect the performance of tuning methods. In this work we study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9f7e31b3afde6f262c1e085c1e161ff
https://doi.org/10.1016/j.engappai.2018.09.001
https://doi.org/10.1016/j.engappai.2018.09.001