A genetic algorithm approach for test point insertion problem.

Engin, Nur


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Turbulence and transition to turbulence are still one of the unresolved topics in physics. Multiphase applications of the transitional flows are more complex than their single-phase counterparts due to having many options for the source of instability. From oceanography to rocket engines, from oil industry to astrophysical phenomena, multiphase instabilities have many examples in both nature and industry. Acquiring the knowledge of the starting point of transition is crucial in all these applications. In th...
A genetic algorithm approach to the artillery target assignment problem
Sapaz, Burçin; Toroslu, İsmail Hakkı; Üçoluk, Göktürk (2010-11-12)
In this work a new assignment problem with the name "Artillery Target Assignment Problem (ATAP)" is defined. ATAP is about assigning artillery guns to targets at different time instances while some objective functions are to be optimized. Since an assignment made for any time instance effect the value of the shooting ATAP is harder than the classical assignment problem. For two variations of ATAP genetic algorithm solutions with customized representations and genetic operators are developed and presented. ©...
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A probabilistic design approach for rock slopes
DUZGUN, HSB; Karpuz, Celal; Yücemen, Mehmet Semih (1998-10-09)
The basic aim of this study is to develop a reliability-based methodology for the practical design of rock slopes. The advanced first-order second-moment (AFOSM) approach is adapted as;the reliability assessment model. In the reliability-based design methodology, the first step is the modeling and quantification of uncertainties associated with the design parameters. Since the safety of a rock slope is most sensitive to the shear strength of discontinuities, the uncertainty analysis is focused on the parame...
Citation Formats
N. Engin, “A genetic algorithm approach for test point insertion problem.,” Middle East Technical University, 1996.