Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ender Ozcan"'
Publikováno v:
Journal of Building Performance Simulation. 16:16-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1092a4b5bdba0b4ecd48a9207db3ce6
https://doi.org/10.1080/19401493.2022.2106309
https://doi.org/10.1080/19401493.2022.2106309
Publikováno v:
Kybernetes, 2014, Vol. 43, Issue 9/10, pp. 1500-1511.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-09-2013-0201
Autor:
Muhammet Deveci, Arunodaya Raj Mishra, Ilgin Gokasar, Pratibha Rani, Dragan Pamucar, Ender Ozcan
Blockchain technology and metaverse advancements allow people to create virtual personalities and spend time online. Integrating public transportation into the metaverse could improve services and collect user data. This study introduces a hybrid dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2159e1383b73572d3358bf6940b2fe86
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2421-2443 (2023)
Abstract Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for r
Externí odkaz:
https://doaj.org/article/fd3a38acb0fd49429fb05a6528e4b410
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109946- (2024)
This data article presents a description of a benchmark dataset for the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment. This problem considers intercellular moves, exceptional parts, sequence-dependent fa
Externí odkaz:
https://doaj.org/article/b1bf390c9d0544f7ae331cfc4f615c18
Publikováno v:
Scopus-Elsevier
There exist many papers that explain the social force model and its application for modelling pedestrian dynamics. None of these papers, however, explains how to implement the social force model in order to use it for systems simulation studies. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::945283329e293b59a95d765abbabe6cf
https://igi.indrastra.com/items/show/19898
https://igi.indrastra.com/items/show/19898
Autor:
Jonathan D. Hirst, Samuel Boobier, Jennifer Coughlan, Jessica Streets, Philippa L. Jacob, Oska Pugh, Ender Özcan, Simon Woodward
Publikováno v:
Artificial Intelligence Chemistry, Vol 1, Iss 2, Pp 100006- (2023)
The benefits of using machine learning approaches in the design, optimisation and understanding of homogeneous catalytic processes are being increasingly realised. We focus on the understanding and implementation of key concepts, which serve as condu
Externí odkaz:
https://doaj.org/article/daa27254025a4fd0810c53e3525143cc
Publikováno v:
Algorithms, Vol 17, Iss 1, p 41 (2024)
Solving multiple objective optimization problems can be computationally intensive even when experiments can be performed with the help of a simulation model. There are many methodologies that can achieve good tradeoffs between solution quality and re
Externí odkaz:
https://doaj.org/article/735f9198779e4c6da9d8d5bdaa3a1ff5
Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable
Autor:
Ender Ozcan, Yilmaz, M.
Publikováno v:
Scopus-Elsevier
In this paper, five previous Particle Swarm Optimization (PSO) algorithms for multimodal function optimization are reviewed. A new and a successful PSO based algorithm, named as CPSO is proposed. CPSO enhances the exploration and exploitation capabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f330f1ba02c84cf38d8c2540879aecf1
https://hdl.handle.net/20.500.11831/1156
https://hdl.handle.net/20.500.11831/1156