Abstract
In close interaction with experts for the PWR loading pattern design a program package for the fuel management automatic optimization is being developed with the final objective of taking into account most practical needs. The PRIMO code systems combines the RELOPAT optimization code of the Technical University of Braunschweig and the new SAV95 core management system of SIEMENS with the fast running nodal flux calculation module PRISM for stationary reactor states. By use of adaptive Evolutionary Algorithms in combination with expert knowledge encoded in heuristics a parallel numerical optimization method has been established to calculate improved PWR's fuel loading pattern for user-defined optimization goals. Simple parallel algorithmic structures coupled with a low amount of communications between computer processors make it possible for workstation clusters to be employed efficiently, offering short turn-around cycles in the design process. Highly promising results have been found by the recalculation of known reload plans for all types of PWRs.
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