Browsing by Author "Dagne, Yonas"

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    Feeding Behaviour and Activity Patterns of Hamerkop (Scopus Umbretta) in Lake Hora, Bishoftu
    (Addis Ababa University, 2019-09-09) Dagne, Yonas; Afework, Bezawork (PhD)
    The feeding behavior and activity pattern of hamerkop (Scopus Umbretta) was studied on the Lake Hora Bishoftu. While study was carried out data were collected during dry and wet seasons (Jan- July 2019). Four days a month totally for 28 days data collected. Data collection throughout the day classified in to three phases. These are early morning (7:00-9:00am) a noon (12:00 -2:00 pm) and late afternoon (4:00-6:00pm). Scan sampling method was used to study feeding behavior and activity patterns of the species. During the dry season the species consumed fish scraps (57.4%). This makes fish scraps the highest consumed food item of the season. Hamerkop consumed amphibians (6.7%). This makes amphibians the least consumed item of the season. During the wet season the species consumed worms (33%). Which was the highest consumed item of the season. Also hamerkop consumed other food items like insects (2.5%). which was the least consumed food item of the season. During the dry season feeding (33.8%) was the most performed activity and bathing (0.86%) was the least performed activity. During the wet season feeding (23.3%) was the most performed activity and bathing (1.35) was the least performed activity.
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    Systematic Global Optimization Algorithm for a General Multilevel Multi Follower Stackelberg Nash Problems with Bounded Decision Range
    (Addis Ababa University, 2018-06-12) Dagne, Yonas; Goa, Mengistu
    Today, many decision makers decide a decision which is hard to accept and could affect or leave to unpleasant situation to those who follows them in structural arrangements. This is because of challenge of solving Structural multi level interdependent set of objects. And most of computational model has challenge for finding the optimal result of each object that considerer all the constraints and limitations of each decision maker in both computational time and decision support quality. This thesis develops a computational optimization computerized model based on root finding technique for a bounded decision range in a non-cooperative environment to reduce computational time and improve decision support quality.