Cite This        Tampung        Export Record
Judul Evolutionary Multi-Criteria Optimization : Methods and Applications / Wang, Rui
Pengarang Wang, Rui
Cheng, Shi
Penerbitan Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute, 2025
Deskripsi Fisik 250 :ilus ;25 cm.
ISBN 978-3-7258-5510-0
Subjek ARTIFICIAL INTELLIGENCE
Catatan This Reprint compiles all articles accepted and published in the Special Issue of Mathematics entitled "Evolutionary Multi-Criteria Optimization: Methods and Applications". This Special Issue seeks to bring together both experts and newcomers to explore emerging and existing issues in these domains, with a particular focus on advancing the integration and synthesis of ideas between EMO and MCDM researchers. By fostering such collaboration, this collection seeks to enhance engagement with the user community and promote practical applications of these methodologies. We hope that the papers featured in this Special Issue will be of interest to our readers.
Bentuk Karya Tidak ada kode yang sesuai
Target Pembaca Tidak ada kode yang sesuai
Lokasi Akses Online https://mdpi-res.com/bookfiles/book/11686/Evolutionary_MultiCriteria_Optimization.pdf?v=1770689561

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
063926192 006.31 Wan e Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
Tag Ind1 Ind2 Isi
001 INLIS000000000166634
005 20260210124426
007 ta
008 260210################|##########|#|##
020 # # $a 978-3-7258-5510-0
035 # # $a 0010-0226000574
082 # # $a 006.31
084 # # $a 006.31 Wan e
100 1 # $a Wang, Rui
245 1 # $a Evolutionary Multi-Criteria Optimization : $b Methods and Applications /$c Wang, Rui
260 # # $a Basel, Switzerland :$b MDPI - Multidisciplinary Digital Publishing Institute,$c 2025
300 # # $a 250 : $b ilus ; $c 25 cm.
505 # # $a This Reprint compiles all articles accepted and published in the Special Issue of Mathematics entitled "Evolutionary Multi-Criteria Optimization: Methods and Applications". This Special Issue seeks to bring together both experts and newcomers to explore emerging and existing issues in these domains, with a particular focus on advancing the integration and synthesis of ideas between EMO and MCDM researchers. By fostering such collaboration, this collection seeks to enhance engagement with the user community and promote practical applications of these methodologies. We hope that the papers featured in this Special Issue will be of interest to our readers.
650 # # $a ARTIFICIAL INTELLIGENCE
700 1 # $a Cheng, Shi
856 # # $a https://mdpi-res.com/bookfiles/book/11686/Evolutionary_MultiCriteria_Optimization.pdf?v=1770689561
990 # # $a 063926192
Content Unduh katalog