Zobrazeno 1 - 10
of 432
pro vyhledávání: '"Learnable Evolution Model"'
Autor:
Moradi, Behzad1 b.moradi@kut.ac.ir
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. Apr2019, Vol. 31 Issue 2, p325-348. 24p.
Publikováno v:
In Knowledge-Based Systems 27 October 2021 230
Autor:
Maedeh Dashti, Taghi Javdani Gandomani, Dariush Hasanpoor Adeh, Hazura Zulzalil, Abu Bakar Md Sultan
Publikováno v:
PeerJ Computer Science, Vol 7, p e800 (2022)
One of the most important and critical factors in software projects is the proper cost estimation. This activity, which has to be done prior to the beginning of a project in the initial stage, always encounters several challenges and problems. Howeve
Externí odkaz:
https://doaj.org/article/644a7ae9305b4220badf9e998c29d7a4
Akademický článek
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Akademický článek
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Autor:
Behzad Moradi
Publikováno v:
Soft Computing. 24:6741-6769
This paper presents a new multi-objective discreet learnable evolution model (MODLEM) to address the vehicle routing problem with time windows (VRPTW). Learnable evolution model (LEM) includes a machine learning algorithm, like the decision trees, th
Autor:
Dashti M; Data Science Research Center, Shahrekord University, Shahrekord, Chaharmahal and Bakhtiari, Iran., Javdani Gandomani T; Data Science Research Center, Shahrekord University, Shahrekord, Chaharmahal and Bakhtiari, Iran.; Department of Computer Science, Shahrekord University, Shahrekord, Chaharmahal and Bakhtiari, Iran., Hasanpoor Adeh D; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Isfahan, Iran., Zulzalil H; Department of Software Engineering and Information Systems, Universiti Putra Malaysia, Serdang, Selangor, Malaysia., Md Sultan AB; Department of Software Engineering and Information Systems, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Publikováno v:
PeerJ. Computer science [PeerJ Comput Sci] 2022 Jan 03; Vol. 8, pp. e800. Date of Electronic Publication: 2022 Jan 03 (Print Publication: 2022).
Autor:
Behzad Moradi
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 31:325-348
A new multi-objective non-Darwinian-type evolutionary computation approach based on learnable evolution model (LEM) is proposed for solving the robot path planning problem. The multi-objective prop...
Publikováno v:
Knowledge-Based Systems. 230:107378
The multi-objective vehicle routing problem with stochastic demand (MO-VRPSD) is much harder to tackle than other traditional vehicle routing problems (VRPs), due to the uncertainty in customer demands and potentially conflicted objectives. In this p
Publikováno v:
Advances in Soft Computing ISBN: 9783030337483
MICAI
MICAI
With the advance of technology, the generation of massive amounts of information grows every day, generating complex problems difficult to manage in an efficient way. Therefore, researchers have studied and modeled the way in which natural biological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26bb8beef380d1afd03abfa577825fa3
https://doi.org/10.1007/978-3-030-33749-0_24
https://doi.org/10.1007/978-3-030-33749-0_24