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توظيف الخوارزمية الوراثية في انشاء تصاميم القطاعات غير الكاملة المتزنة == Construction of Balanced Incomplete Blocks Design (B.I.B.D.) By Using Genetic Algorithms (G.A.)
Author name:
سهام دنخا خوشابا
Supervisor name:
كمال علوان خلف المشهداني
General topic:
Administration and Economics
Specific topic:
Statistics
Degree:
Master
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3758 - p.pdf
Abstract:
Some times we faced problem that either the number of treatments used in an experiment more than the number of experimental units inside the particular block or the blocks size large than the number of replicated of treatments, then we have to use incomplete blocks design (I.B.D.); in this design either the treatment appear in block or not; that means the treatment may appear or not in a block, also when the treatments appear in a pair of treatments, this design called balanced incomplete block design (B.I.B.D.). This case makes the B.I.B.D. important by using the randomization to distribute the treatments inside the blocks and create Incidence Matrix, where its elements either zero when the treatment not appears or one when the treatment appears. This kind of design is important in many fields of study especially in the agriculture and in the veterinary medicine …etc. The aims of the previous studies was to find the way for construction of B.I.B.D..Till now the studies keep going to find out the new ways or methods for construction.The aim of this study is to find out a new way for construction. A new way for construction the incident matrix by using steps for building “Genetic Algorithms”, is discussed Genetic Algorithms are theoretically and empirically proven to provide a robust search in a complex spaces.
