| G.T. Parks. An intelligent stochastic optimization routine for in-core fuel cycle design. Transactions of the American Nuclear Society, 57, 259-260 (1988) |
....integer (NLMIP) Several optimization approaches to this problem have been tried, with the recent trend towards local search heuristics. 1. Successive linear programming (see [3, 18] 2. Local search by pairwise interchange of fuel bundles (see [14, 19, 12, 10] 3. Simulated annealing (see [15, 4, 20]) Surveys of optimization approaches in reactor physics may be found in [11, 16] A natural question is whether the advances in software for nonlinear programming may be utilized for this problem. In this paper, a nonlinear mixed integer (NLMIP) solver [21] is evaluated for the above problem, ....
G.T. Parks. An intelligent stochastic optimization routine for in-core fuel cycle design. Transactions of the American Nuclear Society, 57, 259-260 (1988)
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G.T. Parks. An intelligent stochastic optimization routine for in-core fuel cycle design. Trans. of the Am. Nucl. Soc., 57:259--260, 1988.
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