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High-tech industry zone play a important role in the global economic system with the continuously new knowledge innovation, itpsilas becoming the main motion of regional economic structure optimization and competition. The technology ability and diffuse effect of High-tech zone influence itself and regional economic development greatly. This paper design High-tech zone technology innovation ability...
This paper presents a modified multi-colony ant algorithm, based upon a pheromone arithmetic crossover and a repulsive operator. Iteration of this algorithm can avoid some stagnating states of basic ant colony optimization. An important mechanism of this algorithm is the reinitialization of such stagnating states (worst performing ant colonies), which is accomplished through application of the pheromone...
From the hint of the chaotic system and immune system, a chaotic search-based adaptive immune genetic algorithm (CSAIGA) is presented to improve the genetic algorithm (GA). Taking advantage of the characteristics of chaotic system, the CSAIGA produces the initial population by chaotic iteration, and performs the chaotic local search in the antibody neighborhood of memory population to improve the...
In this paper an improved genetic algorithm is proposed to solve optimal problems applying fixed-point algorithms of continuous self-mapping in Euclidean space. The algorithm operates on an hK1 subdivision of searching space and generates the integer labels at the vertices, and then crossover operators and mutation operators relying on the integer labels are designed. In this case, whether every individual...
Particle swarm optimization (PSO) has shown its good performance on numerical function problems. However, on some multimodal functions the PSO easily suffers from premature convergence because of the rapid decline in velocity. This paper presents a hybrid PSO for numerical optimization, namely HPSO, which employs opposition-based learning (OBL) and a modified velocity model. The OBL provides more...
In order to solve assets allocation problem with fuzzy uncertainty, a fuzzy portfolio selection model is used in this paper. By introducing a coherent risk measure named fuzzy conditional value-at-risk in possibility spaces, the model can rationally solve fuzzy assets allocation problem. Impractical results indicate that efficient frontier of the model is a band. This approach can effectively solve...
In this paper an improved genetic algorithm is proposed to solve optimal problems applying triangulation theory of continuous self-mapping in Euclidean space. The algorithm operates on a simplicial subdivision of searching space and generates the integer labels at the vertices, and then crossover operators and increasing dimension operators relying on the integer labels are designed. In this case,...
Information systems outsourcing has been one of the critical issues in information systems management. Various strategies to IS outsourcing have emerged. Although many articles have appeared on outsourcing, few have extended the discussion beyond simple cost and benefit analysis. Vendor selection is a difficult problem which includes both tangible and intangible factors. Until now, there are no effective...
We focus on the optimal portfolio selection problem where the objective function is expressed by mean Conditional value-at-risk (mean-CVaR). In general, since the density function of underlying risk factors is not available, and then the calculation of CVaR is rather difficult and can not derive the optimal solution. Therefore, we propose the mean-CVaR portfolio optimization model to deal with the...
By simultaneously considering the financial risk and longevity risk, this paper develops a discrete multi-period framework that integrates annuity purchase decisions with consumption-investment selections in retirement planning, so as to discuss the optimal allocation of wealth in consumption, annuity and traditional assets. Computational results are provided to demonstrate the construction of consumption...
In this paper we introduce a framework for constructing portfolios, addressing two of the major problems of classical mean-variance optimization in practice: Low diversification and sensitivity to information ambiguity. In order to address these issues, we incorporate a prior regarding investors preferences as well as using a bootstrapping method to incorporate the effects of input parameter variation...
In order to analyze the impact of consumer's life-level on R/M integrated supply chain management, a method to describe the effect of the consumerpsilas life-level on the collecting price is shown, then an optimization model of R/M integrated supply chain by applying the description method is improved, and finally, the impact of consumerpsilas life-level on the management of R/M integrated supply...
This paper aims to solve the multi-project multi-item investment combination under stochastic surroundings. A new stochastic chance-constrained programming model for investigating its problem will be presented, in which there are three objectives with some stochastic constraints to construct a 0-1 integer programming model, and demonstrate how to use PSO to solve the optimization model with a small...
This article presents a robust optimization formulation for dealing with raw materials price uncertainty in an oligopolistic competition market scenario. Participants in the market face equilibrium selling price and uncertain production cost, at the same time. We show that the robust optimization formulation, based on a nominal problem, may be articulated as a variational inequality involving control...
Hypothetical queries evaluate the effect of adopting or changing some strategy then aiding in decision making. Hypothetical queries simulate some modifications and assess the effect. But in OLAP environments modify data will result in cube recomputation which cost heavily. Through observing and analyzing, hypothetical queries are described as follows: first, dicing the needing hypothetical modified...
E-business and strategic management problems in digital information management (DIM) methodologies can be efficiently solved by using corresponding adaptive algorithmic procedures. A case study representing a characteristic e-banking sector problem and strategic management methodologies in DIM related to e-banking management is presented by considering the proposed algorithmic approach. The adaptability...
With the development of e-technology and Internet, information technology is introduced to commercial activities as a tool, which creates a new business operation e-commerce. Meanwhile, Chinese entrepreneurs have gradually realized that there is no doubt that competition among the enterprises is becoming the competition among their supply chains under the economic globalization in 21st century. The...
Along with the intensification of global competition and the complexity of manufacturing products, the cooperation among enterprises becomes more closely, and the range of quality control extends from internal to the external enterprises. To the demand of product quality control among enterprises, based on holon theory, the product quality control holonic structure for extended enterprises is constructed...
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