Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Carlos Ignacio Hernández-Castellanos"'
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3145 (2024)
Traditional portfolio construction primarily revolves around a bi-objective approach, focusing on minimizing portfolio variance while maximizing expected returns. However, this approach leaves out other objectives that could interest decision makers.
Externí odkaz:
https://doaj.org/article/32811577dfbb44549851d1c880048911
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 3, p 48 (2022)
Multi-objective evolutionary algorithms (MOEAs) have been successfully applied for the numerical treatment of multi-objective optimization problems (MOP) during the last three decades. One important task within MOEAs is the archiving (or selection) o
Externí odkaz:
https://doaj.org/article/b7ff14b853944fa797f1ea218552cdab
Publikováno v:
International Journal on Engineering, Science and Technology. 4:1-13
This paper presents a robust multi-objective optimal design (RMOP) of a passenger car with a semi-active suspension system. The mean-effective values of the root mean square of the passenger’s head acceleration, suspension travel, and tire deflecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d8656ec7340d9e93efba5ea969a0b84
https://doi.org/10.46328/ijonest.62
https://doi.org/10.46328/ijonest.62
Autor:
Carlos Ignacio Hernández Castellanos, Oliver Schütze, Jian-Qiao Sun, Guillermo Morales-Luna, Sina Ober-Blöbaum
Publikováno v:
Mathematics, Vol 8, Iss 11, p 1959 (2020)
In this paper, we present a novel algorithm for the computation of lightly robust optimal solutions for multi-objective optimization problems. To this end, we adapt the generalized cell mapping, originally designed for the global analysis of dynamica
Externí odkaz:
https://doaj.org/article/ec29ec11a87348fa8f4a0608de88cc65
Publikováno v:
Mathematical and Computational Applications, Vol 25, Iss 1, p 3 (2020)
In this paper, we present a novel evolutionary algorithm for the computation of approximate solutions for multi-objective optimization problems. These solutions are of particular interest to the decision-maker as backup solutions since they can provi
Externí odkaz:
https://doaj.org/article/8750e1baafed46a5938ed48ba64d8d0a
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5485c4a907178e3dc24d6c93bdf41e40
https://doi.org/10.1145/3512290.3528740
https://doi.org/10.1145/3512290.3528740
Publikováno v:
International Journal of Robust and Nonlinear Control. 30:7593-7618
In real-world problems, uncertainties (e.g., errors in the measurement, precision errors) often lead to poor performance of numerical algorithms when not explicitly taken into account. This is also the case for control problems, where optimal solutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e79fb57ffc2a11f6466b291e577f69c
https://doi.org/10.1002/rnc.5197
https://doi.org/10.1002/rnc.5197
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030720612
EMO
EMO
Assessing the empirical performance of Multi-Objective Evolutionary Algorithms (MOEAs) is vital when we extensively test a set of MOEAs and aim to determine a proper ranking thereof. Multiple performance indicators, e.g., the generational distance an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f596b559cb4f04ae3a5394235f0d1c8
https://doi.org/10.1007/978-3-030-72062-9_3
https://doi.org/10.1007/978-3-030-72062-9_3
Autor:
Jian-Qiao Sun, Carlos Ignacio Hernández Castellanos, Sina Ober-Blöbaum, Oliver Schütze, Guillermo Morales-Luna
Publikováno v:
Mathematics, Vol 8, Iss 1959, p 1959 (2020)
Mathematics
Volume 8
Issue 11
Mathematics
Volume 8
Issue 11
In this paper, we present a novel algorithm for the computation of lightly robust optimal solutions for multi-objective optimization problems. To this end, we adapt the generalized cell mapping, originally designed for the global analysis of dynamica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14c1b1b3f14796540aa554d1270e9cac
https://www.mdpi.com/2227-7390/8/11/1959
https://www.mdpi.com/2227-7390/8/11/1959
A local hypervolume contribution schema to improve spread of the pareto front and computational time
Publikováno v:
GECCO Companion
Nowadays, it is well-known that incorporating hypervolume-based selection mechanisms in Multi-objective Evolutionary Algorithms (MOEAs) has some drawbacks. For instance, it is computationally expensive to use these MOEAs for solving many-objective pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2dc3738db1d262ba757c24e31df5adb
https://doi.org/10.1145/3377929.3389920
https://doi.org/10.1145/3377929.3389920