refinements and more advanced aspects of tabu search. Following a brief review of notation, Part I1 introduces new dynamic strategies for managing tabu lists, allowing fuller exploitation of underlying evaluation functions. In turn, the elements of staged search and structured move sets are characterized

in ID Walk is very significant, which motivates examination of additional instances in this new class of “dynamic ” candidate list strategies. 1

structure calculation using the fast DYANA torsion angle dynamics algorithm, so that the result from each CANDID cycle consists of exhaustive, possibly ambiguous NOE cross-peak assignments in all available spectra and a three-dimensional protein structure represented by a bundle of conformers. The input

into their UI prototypes, we present a “$1 recognizer ” that is easy, cheap, and usable almost anywhere in about 100 lines of code. In a study comparing our $1 recognizer, Dynamic Time Warping, and the Rubine classifier on user-supplied gestures, we found that $1 obtains over 97 % accuracy with only 1 loaded

Candidate list strategies form an important cornerstone of Tabu Search (TS), yet are often neglected in TS research. In this paper, we review candidate list construction principles and illustrate basic concepts through simple numerical examples from the resource-constrained scheduling domain. We

In this appendix, we will describe the candidate-list method of Miller and Myers (1988) as is implemented for log-affine gap costs in Ngila. In a candidate-list method, the alignment algorithm maintains a list of potential gaps for each column and row. The search is enhanced by removing gaps from

The program diff reports differences between two files, expressed as a minimal list of line changes to bring either file into agreement with the other. Diff has been engineered to make efficient use of time and space on typical inputs that arise in vetting version-to-version changes in computer

Neighbourhood search optimisation techniques that are based upon steepest or first-ascent hillclimbers, such as tabu search, often use some form of a candidate list strategy which examines a subset of the available moves. This paper presents and evaluates a directed candidate list strategy which

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operators, namely the Merge-Split (MS) operator. However, the higher computational complexity of the MS operator compared to traditional local search operators remains as the major drawback of MAENS, especially when applying it to large-size instances. In this paper, we propose a heuristic candidate list