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- W3127615897 abstract "In this paper, we explore a fruit fly evolutionary algorithm in solving a complex university examination timetabling problem where examinations need to be assigned to limited number of times lots and rooms, subject to a set of student and lecturer related constraints. A new evolutionary algorithm namely the Fruit-Fly Optimization Algorithm (FOA) which is based on the behavior of finding food by the fruit fly is used as solution methodology. It is a method that is still limited in optimization and artificial intelligence area for finding global optimization. We use FOA for solving the problem and introduce new neighborhood structures related with median difficult exams to suit with the problem solving. Experimental results show that FOA with the introduced neighborhood structure can produce high quality solutions within examination timetabling problem. It is concluded that FOA with the introducedneighborhood structure is simple, yet effective in solving a complex examination timetabling problem." @default.
- W3127615897 created "2021-02-15" @default.
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- W3127615897 date "2019-01-01" @default.
- W3127615897 modified "2023-09-25" @default.
- W3127615897 title "Exploring fruit fly evolutionary algorithm in auniversity examination timetabling environment" @default.
- W3127615897 hasPublicationYear "2019" @default.
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