Cohort Intelligence: A Socio-inspired Optimization Method

• Κύριοι συγγραφείς: Kulkarni, Anand Jayant (Συγγραφέας), Krishnasamy, Ganesh (Συγγραφέας), Abraham, Ajith (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Intelligent Systems Reference Library, 114
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).
• Φυσική περιγραφή: XI, 134 p. 29 illus. online resource.
• ISBN: 9783319442549
• ISSN: 1868-4394 ;

This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation. The inherent ability of handling constraints based on probability distribution is also revealed and proved using these problems. .