Improving Hit-and-Run is a random search algorithm for global optimization that at each iteration generates a candidate point for improvement that is uniformly distributed along a randomly chosen direction within the ...
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Improving Hit-and-Run is a random search algorithm for global optimization that at each iteration generates a candidate point for improvement that is uniformly distributed along a randomly chosen direction within the feasible region. The candidate point is accepted as the next iterate if it offers an improvement over the current iterate. We show that for positive definite quadratic programs, the expected number of function evaluations needed to arbitrarily well approximate the optimal solution is at most O(n5/2) where n is the dimension of the problem. Improving Hit-and-Run when applied to global optimization problems can therefore be expected to converge polynomially fast as it approaches the global optimum.
The water flow optimizer (WFO) is the latest swarm intelligence algorithm inspired by the shape of water flow. Its advantages of simplicity, efficiency, and robust performance have motivated us to further enhance it. ...
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The water flow optimizer (WFO) is the latest swarm intelligence algorithm inspired by the shape of water flow. Its advantages of simplicity, efficiency, and robust performance have motivated us to further enhance it. In this paper, we introduce fractional-order (FO) technology with memory properties into the WFO, called fractional-order water flow optimizer (FOWFO). To verify the superior performance and practicality of FOWFO, we conducted comparisons with nine state-of-the-art algorithms on benchmark functions from the IEEE Congress on Evolutionary Computation 2017 (CEC2017) and four real-world optimization problems with large dimensions. Additionally, tuning adjustments were made for two crucial parameters within the fractional-order framework. Finally, an analysis was performed on the balance between exploration and exploitation within FOWFO and its algorithm complexity.
Les auteurs se proposent d’étudier la complexité d’un algorithme de décodage pondéré des codes linéaires en blocs précédemment publié et de certaines de ses variantes sim...
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Les auteurs se proposent d’étudier la complexité d’un algorithme de décodage pondéré des codes linéaires en blocs précédemment publié et de certaines de ses variantes simplifiées, en se restreignant au cas binaire. On présente à cet effet des calculs basés sur un modèle simplifié du fonctionnement du décodeur ainsi que des résultats de sa simulation. On commence par rappeler la description de cet algorithme en se référant au diagramme du treillis associé au code. Une description probabiliste du fonctionnement de l’algorithme sert d’introduction à un modèle dans lequel les ?cotes? associées à chaque chemin du treillis, qu’il s’agit de comparer, sont scindées en deux termes additifs, l’un certain, l’autre aléatoire. Une évaluation de la complexité de l’algorithme optimal et de certaines de ses variantes simplifiées est développée à partir de ce modèle. La méthode de simulation de l’algorithme et de ses variantes, ainsi que les résultats obtenus, sont enfin présentés.
Whenevern objects are characterized by a matrix of pairwise dissimilarities, they may be clustered by any of a number of sequential, agglomerative, hierarchical, nonoverlapping (SAHN) clustering methods. These SAHN cl...
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Whenevern objects are characterized by a matrix of pairwise dissimilarities, they may be clustered by any of a number of sequential, agglomerative, hierarchical, nonoverlapping (SAHN) clustering methods. These SAHN clustering methods are defined by a paradigmatic algorithm that usually requires 0(n 3) time, in the worst case, to cluster the objects. An improved algorithm (Anderberg 1973), while still requiring 0(n 3) worst-case time, can reasonably be expected to exhibit 0(n 2) expected behavior. By contrast, we describe a SAHN clustering algorithm that requires 0(n 2 logn) time in the worst case. When SAHN clustering methods exhibit reasonable space distortion properties, further improvements are possible. We adapt a SAHN clustering algorithm, based on the efficient construction of nearest neighbor chains, to obtain a reasonably general SAHN clustering algorithm that requires in the worst case 0(n 2) time and space.
Proportional link linkage (PLL) clustering methods are a parametric family of monotone invariant agglomerative hierarchical clustering methods. This family includes the single, minimedian, and complete linkage cluster...
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Proportional link linkage (PLL) clustering methods are a parametric family of monotone invariant agglomerative hierarchical clustering methods. This family includes the single, minimedian, and complete linkage clustering methods as special cases;its members are used in psychological and ecological applications. Since the literature on clustering space distortion is oriented to quantitative input data, we adapt its basic concepts to input data with only ordinal significance and analyze the space distortion properties of PLL methods. To enable PLL methods to be used when the number n of objects being clustered is large, we describe an efficient PLL algorithm that operates in O(N2 log n) time and O(n2) space.
Consider a computer system in which different types of serially reusable resources are shared by several classes of processes. We assume that each process in a process class has the same known maximum claim (i.e., the...
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Consider a computer system in which different types of serially reusable resources are shared by several classes of processes. We assume that each process in a process class has the same known maximum claim (i.e., the maximum resource requirement), but that the actual sequence of requests is unknown. Our resource manager uses the "expedient policy" in granting requests for resources, under the constraint that at most K (a constant) processes can reside in the system at any time.
The degree of dispersion of a random variable can be described by the variance, which reflects the distance of the random variable from its mean. However, the time complexity of the traditional variance calculation al...
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The degree of dispersion of a random variable can be described by the variance, which reflects the distance of the random variable from its mean. However, the time complexity of the traditional variance calculation algorithm is O(n), which results from full calculation of all samples. When the number of samples increases or on the occasion of high speed signal processing, algorithms with O(n) time complexity will cost huge amount of time and that may results in performance degradation of the whole system. A novel multi-step recursive algorithm for variance calculation of the time-varying data series with O(1) time complexity (constant time) is proposed in this paper. Numerical simulation and experiments of the algorithm is presented and the results demonstrate that the proposed multi-step recursive algorithm can effectively decrease computing time and hence significantly improve the variance calculation efficiency for time-varying data, which demonstrates the potential value for time-consumption data analysis or high speed signal processing.
We give some simple description for the finitely generated structures with P-computable isomorphic presentation;i.e., presentation computable in polynomial time. The description is close to the formulation of a Remmel...
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We give some simple description for the finitely generated structures with P-computable isomorphic presentation;i.e., presentation computable in polynomial time. The description is close to the formulation of a Remmel and Friedman theorem. We prove that each finitely generated substructure of a P-computable structure also has a P-computable presentation. The description is applied to the classes of finitely generated semigroups, groups, unital commutative rings and fields, as well as ordered unital commutative rings and fields. We prove that every finitely generated commutative ring or a field has a P-computable presentation.
Let Rn denote the set of rooted trees with n leaves in which the leaves are labeled by the integers in { 1, . . . , n};and among interior vertices only the root may have degree 2. Associated with each interior vertex ...
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Let Rn denote the set of rooted trees with n leaves in which the leaves are labeled by the integers in { 1, . . . , n};and among interior vertices only the root may have degree 2. Associated with each interior vertex v in such a tree is the subset, or cluster, of leaf labels in the subtree rooted at v. Cluster {1, . . . , n} is called trivial. Clusters are used in quantitative measures of similarity, dissimilarity and consensus among trees. For any k trees in Rn, the strict consensus tree C(T1, . . . , Tk) is that tree in Rn containing exactly those clusters common to every one of the k trees. Similarity between trees T1 and T2 in Rn is measured by the number S(T1, T2) of nontrivial clusters in both T1 and T2;dissimilarity, by the number D(T1, T2) of clusters in T1 or T2 but not in both. algorithms are known to compute C(T1, . . . , Tk) in O(kn2) time, and S(T1, T2) and D(T1, T2) in O(N2) time. A special representation of the clusters of any tree T in Rn, is proposed that permits testing in constant time whether a given cluster exists in T. algorithms are described that exploit this representation to compute C(T1, . . . , Tk) in O(kn) time, and S(T1, T2) and D(T1, T2) in O(n) time. These algorithms are optimal in a technical sense. They enable well-known indices of consensus between 2 [phylogenetic] trees to be computed in O(n) time. All these results apply as well to comparable problems involving unrooted trees with labeled leaves.
A third-order complex delta-sigma modulation (CDSM) structure with cross-coupling paths is proposed and analysed. Although the conventional CDSM can reduce circuits complexity in digital transmitter systems, it suffer...
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A third-order complex delta-sigma modulation (CDSM) structure with cross-coupling paths is proposed and analysed. Although the conventional CDSM can reduce circuits complexity in digital transmitter systems, it suffers from other shortcomings like increasing algorithm complexity. This structure imports cross-coupling paths both at output and interstage, which realises decorrelation between zeros and poles. The advantage is that complex zeros can be arbitrarily placed, and thus, the reconfigurable digital wireless transmitter application can be satisfied;and the poles are not affected by zeros placement, which improves the flatness of signal transfer function.
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