ActualTests Implementing Cisco Security Monitoring Analysis

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The value of the control parameter is decreased during the execution of the algorithm. In Figure 1 the value L specifies the number of iterations that the control parameter is kept constant before it is decreased. The values of c and L and the stop criterion are specified by the 'cooling schedule'. Initially, at large values of c, large deteriorations will be accepted; as c decreases, only smaller deteriorations will be accepted and finally, as the value of c approaches 0, no deteriorations will be accepted at all.

It usually will not minimize X-^) over all xeX , TABU SEARCH 55 Tabu search permits moves that deteriorate the current objective function value and selects the moves from a modified neighborhood N*{x). Short and long term memory structures are responsible for the specific composition of A^*(x). In other words, the modified neighborhood is the result of maintaining a selective history of the states encountered during the search. In TS strategies based on short term considerations, A^*(x) characteristically is a subset of N{x), and the tabu classification serves to identify elements of N{x) excluded from N {x).

1978, Monte Carlo Methods in Statistical Physics, Springer-Verlag. , 1985, Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm. Journal of Optimization Theory and Applications 45: 41-51. , 2006, Tabu search. Chapter 4 in this book. Hopfield, J. , 1982, Neural networks and physical systems with emergent collective computational abilities, Procs. of the Natl. Academy of Sciences of the USA 79: 2554-2558. Hopfield, J. , 1984, Neurons with graded response have collective computational properties like those of two-state neurons, Proceedings of the National Academy of Sciences of the USA 81: 3088-3092.

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