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or GFF (but usually not both) can find optimal or near optimal solutions, yet there are many problem instances, for which both SFF and GFF yield rather poor results In consequence, our goal is to contruct a solution method, the results of which are at least as good as the better of SFF and GFF in all cases, and which takes into account especially those problem instances for which both SFF and GFF fail to deliver good results In this latter case, we expect considerable improvements in result quality We have decided to use tabu search (TS) techniques as the conceptual basis of our solution method due to good experiences made with TS in a wide variety of telecommunication applications and related fields [1, 15, 13], including frequency assignment problems [12].

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A complete description of the algorithm is beyond the scope of this chapter; we refer the reader to [17] for further details Let us start the development of the solution method by having a brief look at the basic conceptual ideas behind TS, including the slight modifications needed for our purposes Note that in contrast to the previous section, here f denotes the target function (or cost function) of our application, ie, f (B) is the number of frequencies needed for the ensemble assignment B 1251 The Basic Framework TS is a heuristic technique for solving discrete optimization problems and is regarded as a member of the family of so-called metaheuristics [18, 20].

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where k is the liquid-phase reaction rate coef cient and the liquid-phase concentrations [A] and [B] can be related to the gas-phase mixing ratios by Henry s law. Reaction (7.25) on cold sulphuric acid aerosol exhibits this type of behaviour [26]. For faster heterogeneous reactions,

HIV prevention among Asian and Paci c Islander American men who have sex with men: A critical review of theoretical models and directions for future research AIDS Education and Prevention, 10(Suppl 3), 19 30 Clark, D O (1997) Physical activity ef cacy and effectiveness among older adults and minorities Diabetes Care, 20(7), 1176 182 1 Clark, R, Anderson, N B, Clark, V R, & Williams, D R (1999) Racism as a stressor for African Americans: A biopsychosocial model American Psychologist, 54, 806 815 Clark, R, Tyroler, H A, & Heiss, G (2000) Orthostatic blood pressure responses as a function of ethnicity and socioeconomic status: The ARIC Study Annals of the New York Academy of Sciences, 896, 316 317 Clark, V R, Moore, C L, & Adams, J H (1998) Cholesterol concentrations and cardiovascular reactivity to stress in African American college volunteers.

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It can be understood as a form of neighborhood search, expanded by a few components, the most crucial of which is the concept of setting so-called tabus on some transitions, blocking any development in direction of these transitions as long as the tabus set on them are valid The underlying idea is to avoid a well-known problem arising with classic neighborhood search, which easily gets trapped in a local optimum As an expanded variation of neighborhood search, the first step in adapting TS to a given optimization problem is to define a neighborhood suitable for the problem; that is, given a problem instance characterized by a search space T and a cost function f to be optimized, one must define a function N : T 2T, where for all t T the subset N(t) T is interpreted as the neighborhood of t in T.

With a neighborhood defined, we can now run TS by first choosing a suitable initial value t0 T and then at each iteration i a permissible value ti N(ti 1) of greatest possible gain as the next iteration value, continuing in this fashion until some condition terminates the process To prevent TS from being trapped in a local optimum, a so-called tabu list is introduced, consisting of either the most recent transitions or of fundamental data specifying the most recent transitions or specifying families of similar transitions for each of the most recent transitions Any entry in the tabu list and, in consequence, any transition described by an entry in the tabu list is said to be tabued, meaning that such a transition is not selectable in any TS iteration as long as the tabu set on it has not expired.