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- W2538211618 abstract "The authors review the traditional simulated annealing algorithm, presenting physical analogies of the process and a formal statement of the algorithm, and propose a modification to the classical simulated annealing process through the use of dynamic perturbation functions. This modification is shown to yield a significant improvement in performance for the 50-city traveling salesman problem. The authors suggest a methodology for mapping aerospace problems into optimization problems to be solved by simulated annealing and demonstrate this methodology on three sample aerospace engineering problems: air traffic control, aircraft mission planning, and signal path switching. >" @default.
- W2538211618 created "2016-10-28" @default.
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- W2538211618 date "2002-12-04" @default.
- W2538211618 modified "2023-09-23" @default.
- W2538211618 title "Simulated annealing with dynamic perturbations: a methodology for optimization" @default.
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- W2538211618 doi "https://doi.org/10.1109/aero.1990.109083" @default.
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