The evolution of firms’ social responsibility and stock performance

Autor: Gao, Ning, Qayyum, Arif

Publikováno v: Social Responsibility Journal, 2022, Vol. 19, Issue 4, pp. 601-610.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/SRJ-06-2021-0222

A Note on REIT Returns and the Case-Shiller Home Price Index

Autor: Highfield, Michael J., Misra, Kaustav, Qayyum, Arif, Dodd, Charod

Publikováno v: Journal of Real Estate Practice and Education, 2015 Jan 01. 18(1), 77-86.

Externí odkaz: https://www.jstor.org/stable/24863166

Impact of Global Residential Real Estate on Portfolio Diversification.

Autor: Qayyum, Arif¹, Khan, Walayet A.²

Publikováno v: Journal of Real Estate Portfolio Management. 2021, Vol. 27 Issue 2, p149-165. 17p.

Controlling maximum evaluation duration in on-line and on-board evolutionary robotics

Autor: Evert Haasdijk, D.G. Nedev, Atta-ul-Qayyum Arif

Publikováno v: Evolving Systems. 5:275-286

On-line evolution of robot controllers allows robots to adapt while they perform their proper tasks. In our investigations, robots contain their own self-sufficient evolutionary algorithm (known as the encapsulated approach) where individual solution

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93276d996db0d5b3582c36ae73b812f4
https://doi.org/10.1007/s12530-014-9117-x

Controlling Evaluation Duration in On-line, On-board Evolutionary Robotics

Autor: Evert Haasdijk, Atta-ul-Qayyum Arif, D.G. Nedev

Publikováno v: Atta-ul-Qayyum, A, Haasdijk, E W & Nedev, D G 2013, Controlling Evaluation Duration in On-line, On-board Evolutionary Robotics . in Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence . IEEE, Singapore, pp. 84-90, IEEE Symposium Series on Computational Intelligence, 16/04/13 .
Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence, 84-90
STARTPAGE=84;ENDPAGE=90;TITLE=Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence
EAIS

In this paper, we evaluate parameter control techniques for on-line and on-board evolutionary robotics. The devised approach augments an algorithm for on-line controller adaptation ((μ+1) ON-LINE) with a scheme for dynamic control of the evaluation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed181f5ad20ff35ca161685eefd04c8
https://hdl.handle.net/1871.1/d124818b-a32f-4b41-9ef5-83b9fe4781ea