A genetic based algorithm for conflict resolution / Sandra Wahid Amin Rizkallah ; Supervised Nevin Mahmoud Darwish , Samer Nabil Mohamed

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Sandra Wahid Amin Rizkallah

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TextLanguage: English Publication details: Cairo : Sandra Wahid Amin Rizkallah , 2017Description: 65 P. : charts , facsimiles ; 30cmOther title:

نهج قائم على الخوارزميات الجينية يستخدم لتسوية النزاعات [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: This work presents a genetic based algorithm for conflict resolution. The solution is generated by assigning resources{u2019} shares for the conflicting parties based on their preferences. The proposed algorithm obtains optimal solutions that satisfy Nash equilibrium. We have successfully implemented and tested our algorithm. The implementation is flexible in the sense that the conflict can involve multiple weighted conflicting parties and multiple weighted resources whether those resources are divisible or not. Moreover, it allows for both text and image data to be incorporated. The implementation also permits users to participate in the solution generation process through the use of the F-mode option. In addition to comparing our results with those of similar publications, we have used the Grand Ethiopian Renaissance Dam conflict as a proof of concept.

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Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.06.M.Sc.2017.Sa.G (Browse shelf(Opens below))		Not for loan	01010110072485000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.06.M.Sc.2017.Sa.G (Browse shelf(Opens below))	72485.CD	Not for loan	01020110072485000

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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

This work presents a genetic based algorithm for conflict resolution. The solution is generated by assigning resources{u2019} shares for the conflicting parties based on their preferences. The proposed algorithm obtains optimal solutions that satisfy Nash equilibrium. We have successfully implemented and tested our algorithm. The implementation is flexible in the sense that the conflict can involve multiple weighted conflicting parties and multiple weighted resources whether those resources are divisible or not. Moreover, it allows for both text and image data to be incorporated. The implementation also permits users to participate in the solution generation process through the use of the F-mode option. In addition to comparing our results with those of similar publications, we have used the Grand Ethiopian Renaissance Dam conflict as a proof of concept.

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