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Fast enumeration (FE) is a way of efficiency improvement in explicit enumeration. Since its development in 2013, FE gains much attention in the solution of integer programming problems. An integer programming problem is a mathematical optimization or feasibility programming in which some or all of the variables are restricted to be integers. In many cases, the problems can be divided into integer...
Low power design techniques have been extensively applied in modern IC designs to avoid negative side effects from high power density. Unlike Dynamic Voltage and/or Frequency Scaling (DVFS) approaches only applied on a “fixed” design, we propose a dynamic logic reconfigurable structure strategy which allows dynamic switching from a high speed/power logic structure to a low speed/power logic structure...
In this study, a novel region-based image retrieval approach via ranking and multi-view learning techniques is introduced for the first time based on medical multi-modality data. A surrogate ranking evaluation measure is derived, and direct optimization via gradient ascent is carried out based on the surrogate measure to realize ranking and learning. A database composed of 1000 real patients data...
Protein alignment is a basic step for many molecular biology researches. The BLOSUM matrices, especially BLOSUM62, are the de facto standard matrices for protein alignments. However, after widely utilization of the matrices for 15 years, programming errors were surprisingly found in the initial version of source codes for their generation. And amazingly, after bug correction, the “intended” BLOSUM62...
This paper study the basic principle of the flood calamity assessment based on GIS. based GIS theory, using the the overlayer algorithm of hierarchical maps in GIS method, through the corresponding constraint condition, Fuzzy Similarity Nearness degree matter-element model is applied to the flood disaster moves the plan to carry on the synthesis judgment the method.
Supply Chain Management (SCM) is now an important strategy for companies to gain competitiveness. However, the cost is still the key factor to face. This paper proposes a novel approach to create an optimal logistic plan in SCM with failures such that the required total capacity for logistics is minimum while the reliability retains the highest. Since the globalized economics changes very fast, the...
In this article, the authors propose a new multivariable method of identifying the flexible structure with piezoelectric actuators based on maximum likelihood algorithm in frequency domain. The algorithm has been successfully applied on a particular H-type flexible structure with four inputs and four outputs on a restricted frequency range.
The quality of an approximation set usually includes two aspects-- approaching distance and spreading diversity. This paper introduces a new technique for assessing the diversity of an approximation to an exact Pareto-optimal front. This diversity is assessed by using an ldquoexposure degreerdquo of the exact Pareto-optimal front against the approximation set. This new technique has three advantages:...
This paper proposes a new evolutionary algorithm with lower dimensional crossover and gradient-based mutation for real-valued optimization problems with constraints. The crossover operator of the new algorithm searches a lower dimensional neighbor of the parent points where the neighbor center is the barycenter of the parents, and therefore the new algorithm converges fast. The gradient-based mutation...
Recently several manifold learning algorithms have been presented for nonlinear dimensionality reduction. Isomap is one of them. However, Isomap suffers from a deficiency that it does not give an explicit mapping function, which is from high dimensional space to low dimensional target space. In this paper, a version of Isomap with explicit mapping, called E-Isomap, is proposed. In E-Isomap, the geodesic...
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