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Conference Object Complexity Engineering, Evolution and Optimality of Structures(Morgan Kaufmann Pub inc, 1999) Kundu, SComplexity Engineering deals with harnessing the power of Cellular Automata (CA) like simple models to solve real life difficult and complex engineering problems, dealing with systems that have very simple components that collectively exhibit complex behaviors. The state transition rules are generally fixed in a CA, but evolution of the rules, is considered here. To evolve the local rules, we use the Genetic Algorithm (GA) model. The example application described here will serve to demonstrate that the GAs can discover CA rules that give rise to emergent computational strategies by self-organization and exhibit globally coordinated tasks for optimization, with simple local interactions only.Article Citation - WoS: 4Optimum Dragline Selection for Strip Coal Mines(inst Mining Metallurgy, 1998) Erdem, B; Çelebi, N; Pasamehmetoglu, AGA model is presented by means of which the optimal dragline selection may be made. An outline is given of the methodology that was adopted in developing a series of generic algorithms to first define and then formularize the need to extend the working bench under a nat-lying topography and coal seam. Rehandle percentages were calculated for four generalized extended bench geometries, in each of which the percentage rehandle varied according to the relative positions of the extended bench and pit. A set of geometric and simulative equations was developed on which a model for the optimal selection of a dragline was based. Finally, a typical application was tested through the use of data associated with a hypothetical strip-mining operation.Article Unit cost analysis model for stripping of open-pit lignite mines(inst Mining Metallurgy, 1998) Çelebi, N; Pasamehmetoglu, AG; Karpuz, C[No Abstract Available]

