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In this paper, Differential Evolution based approach with a novel dynamic constraint-handling mechanism is proposed to solve constrained real-parameter optimization. This is implemented by restating the single-objective constrained optimization as a set of single-objective unconstrained problems and dynamically assigning to the individual adaptively as its fitness. Three selection criteria based on...
This paper presents a in-place cycle-reducing method for multidimensional arrays transposition in local memory to reduce the memory R/W operations. The resulting method can significantly reduce the number of subcycles (also called following-cycles) and that of memory operations for square arrays. Taking square array 256 by 256 for example, the number of subcycles used by current available best algorithm...
This article will from the perspective of valuator, based on the analysis of quantitative evaluation method of experts' evaluation level and abnormality, construct the dynamic time-vary evaluation on enterprise technological innovation. The research shows that, this method could overcome the negative influence of subjective weight towards evaluation result in the existing method; and it can evaluate...
As market competition continues to intensify, more and more enterprises have empowered their own salespeople. And managers in enterprises are more concerned with the issues how they determine whether salespeople in enterprises suit to be empowered and how they evaluate salespeoplepsilas empowerment readiness. This paper establishes index system of salespeoplepsilas empowerment readiness in enterprises,...
With respect to numerical decision matrix preference information expert group judgment consensus problem, a judgment analysis method is proposed in this paper. first, introduces definitions and related natures, then introduces the concept of OWA operator, using the majority experts advice consensus principle, gives the inconsistency improvement method of expert group judgment, finally a numerical...
Accurate data dependence testing allows a compiler to perform safe automatic code optimization and parallelization. It has been shown that factors, such as loop variants and nonlinear expressions, limit opportunity for data dependence testing and parallelization. Recently, the NLVI-Test has been introduced as new technology to enable exact data dependence testing on nonlinear expressions. Apart from...
In this paper we investigate several self-adaptive mechanisms to improve our previous work on NSDE, which is a recent DE variant for numerical optimization. The self-adaptive methods originate from another DE variant, SaDE, but are remarkably modified and extended to fit our NSDE. And thus a self-adaptive NSDE (SaNSDE) is proposed to improve NSDEpsilas performance. Three self-adaptive mechanisms are...
In this paper we investigate a self-adaptive differential evolution algorithm (jDEdynNP-F) where F and CR control parameters are self-adapted and a population size reduction method is used. Additionally the proposed jDEdynNP-F algorithm uses a mechanism for sign changing of F control parameter with some probability based on the fitness values of randomly chosen vectors, which are multiplied by the...
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