Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Yiannis Fourkiotis"'
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
During the last three decades, there has been a growing interest in problem-solving systems based on algorithms that rely on analogies to natural processes. Nature-inspired optimization techniques have been proven to be quantitatively appealing, sinc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c723a7088025f066a9c7d5444b75cdc
https://doi.org/10.1016/b978-0-12-398364-0.00004-8
https://doi.org/10.1016/b978-0-12-398364-0.00004-8