Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Amir Hossein Gandomi"'
Publikováno v:
Accounting, Vol 10, Iss 4, Pp 207-220 (2024)
This research aims to enhance portfolio selection by integrating machine learning regression algorithms for predicting stock returns with various risk measures. These measures include mean-value-at-risk (VaR) variance (Var), semi-variance mean-absolu
Externí odkaz:
https://doaj.org/article/82c85ad423e54818a0bd2572e8624ae4
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
Recently, Gandomi and Alavi proposed a novel swarm intelligent method, called krill herd (KH), for global optimization. To enhance the performance of the KH method, in this paper, a new improved meta-heuristic simulated annealing-based krill herd (SK
Externí odkaz:
https://doaj.org/article/4b644ac6242b4a91a143ebd1326e6273
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimi
A novel improved accelerated particle swarm optimization algorithm for global numerical optimization
Publikováno v:
Engineering Computations, 2014, Vol. 31, Issue 7, pp. 1198-1220.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-10-2012-0232
Autor:
Danial Yazdani, Donya Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Amir Hossein Gandomi, Xin Yao
Many real-world optimization problems are dynamic. The field of robust optimization over time (ROOT) deals with dynamic optimization problems in which frequent changes of the deployed solution are undesirable. This can be due to the high cost of swit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1ba6949d91b134ddcdf6252b531b20c
http://wrap.warwick.ac.uk/165670/1/WRAP-Robust-optimization-over-time-estimating-robustness-promising-regions-2022.pdf
http://wrap.warwick.ac.uk/165670/1/WRAP-Robust-optimization-over-time-estimating-robustness-promising-regions-2022.pdf
Autor:
Ali Mirjalili, Amir Hossein Gandomi
Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, ma
Autor:
János Abonyi, Rajendra Akerkar, Amir Hossein Alavi, Carlos Arango, Ibrahim Aydogdu, Janez Brest, Xingjuan Cai, Jelson Cordeiro, Pablo Cortés, Kelton Augusto Pontara Costa, Zhihua Cui, E. Doğan, Alejandro Escudero, Iztok Fister, Iztok Jr. Fister, Andreas Floros, Simon Fong, Amir Hossein Gandomi, Oubay Hassan, Raha Imanirad, Momin Jamil, Gilang Kusuma Jati, Maximos A. Kaliakatsos-Papakostas, Mehmet Karamanoglu, András Király, Jonas Krause, Hongbo Liu, Heitor Silvério Lopes, Ruli Manurung, Kenneth Morgan, Rodrigo Yuji Mizobe Nakamura, Luis Onieva, Rafael Stubs Parpinelli, João Paulo Papa, Luís Augusto Martins Pereira, Douglas Rodrigues, M. Rowan Brown, Priti Srinivas Sajja, M.P. Saka, Shichang Sun, null Suyanto, Siamak Talatahari, Tamás Varga, Michael N. Vrahatis, Sean Walton, Renbin Xiao, Xin-She Yang, Julian Scott Yeomans, Hans-Jürgen Zepernick
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa5ccb725013188fa591d7a196d1201
https://doi.org/10.1016/b978-0-12-405163-8.00025-9
https://doi.org/10.1016/b978-0-12-405163-8.00025-9
Autor:
A. Ahangar-Asr, Amir Hossein Alavi, M. Tamer Ayvaz, H. Md Azamathulla, Jafar Bolouri Bazaz, Jessica Andrea Carballido, Y.M. Cheng, C.G. Chua, Sarat Kumar Das, Alper Elçi, A. Faramarzi, Mariano Frutos, Amir Hossein Gandomi, Z.W. Geem, Anthony T.C. Goh, Yousef Hassanzadeh, Sharad Kumar Jain, A.A. Javadi, Manoj K. Jha, Nikos Kallioras, Matthew G. Karlaftis, Khewal Bhupendra Kesur, Nikos D. Lagaros, Ali Mollahasani, N. Mottaghifard, Fereidoon Moghadas Nejad, Ali Nikjoofar, Ana Carolina Olivera, Muthiah Perumal, George Piliounis, Deepti Rani, Pijush Samui, Mohamed A. Shahin, Vijay P. Singh, Dinesh Kumar Srivastava, Siamak Talatahari, A. Vasan, Xin-She Yang, Mahdi Zarghami, Hamzeh Zakeri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aac1964ca8d0d93fca7323f2f081542
https://doi.org/10.1016/b978-0-12-398296-4.00029-5
https://doi.org/10.1016/b978-0-12-398296-4.00029-5
Autor:
Amir Hossein Alavi, Jennifer Avakian, Alireza Azarbakht, Gebrail Bekdaş, André Borrmann, Giuseppe Carlo Marano, Benoît Descamps, Emad E. Elbeltagi, Rajan Filomeno Coelho, Yiannis Fourkiotis, Kohei Fujita, Amir Hossein Gandomi, Shobeir Pirayeh Gar, Gholizadeh Saeed, Kasthurirangan Gopalakrishnan, Muhammad N.S. Hadi, Monique Head, Manoj K. Jha, Matthew G. Karlaftis, Ali Kaveh, Sunghoon Kim, Chan Ghee Koh, Nikos D. Lagaros, Luciano Lamberti, Katharina C. Lukas, Chara Ch. Mitropoulou, Parviz Mohammad Zadeh, Mehdi Mousavi, Pruettha Nanakorn, Sinan Melih Nigdeli, Anan Nimtawat, Alessandro Palmeri, Carmine Pappalettere, Giuseppe Quaranta, Masoud Rais-Rohani, Mohammad Rouhi, Mohammed Ghasem Sahab, Pejman Sharafi, Mohadeseh Alsadat Sadat Shirazi, Sehyun Tak, Izuru Takewaki, Siamak Talatahari, Lip H. Teh, Vassili V. Toropov, Thanh N. Trinh, Xin-She Yang, Hwasoo Yeo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7123100a83844094eed7959c72d2a957
https://doi.org/10.1016/b978-0-12-398364-0.00031-0
https://doi.org/10.1016/b978-0-12-398364-0.00031-0
Publikováno v:
Engineering Computations; Apr2011, Vol. 28 Issue 3, p242-274, 33p