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For the production of coal enterprises in new mine after the formation of a strategic alliance, the article takes into account the Union,s overall development strategy of coal resources for a certain period and the interests of the coal enterprises, establishes the alliance production planning model in pursuit of the minimum cost. The application of multi-objective genetic algorithm, each enterprise...
In order to solve the difficulty - how to choose elements of product performance and price - and the distortion problem caused by the multi-variable correlation, this paper proposes a optimized model of product customer satisfaction (PCS) based on genetic algorithms and partial least squares. The model not only solves the distortion problem due to multicollinearity, but also provides multiple models...
Based on the optimization problem of the number and size in coal mine equipment the principle and procedure of genetic algorithm is introduced. The case of application proves that the genetic algorithm can better optimize the number and size of equipments in coal mine.
The cellular genetic algorithm with disaster (CDGA) puts individuals into a toridal grid or presudo landscape which behave "active" or "inactive" state. The genetic operator of individuals is restricted to within neighborhood. In this paper, we evaluate combinational effects on size of neighborhood and size of disaster. We have tackled this research by considering two typical functions...
In this paper, we propose a promising multi-objective (MO) optimization model for partner selection in a market-oriented dynamic collaboration (DC) platform of cloud providers (CPs) to minimize the conflicts among providers that may happen when negotiating among providers. The model not only uses their individual information (INI) but also past collaborative relationship information (PRI) for partner...
Water network rehabilitation is a complex problem, and many facets should be concerned in the solving process. It is a discrete variables, non-linear, multi-objective optimal problem. An optimization approach is discussed in this paper by transforming the hydraulic constraints into objective functions of optimization model of water supply network rehabilitation problem. The non-dominated sorting Genetic...
Momentous project is a strategic project with which a country, in responding to challenges in the development of economy, society or science and technology, pools a large amount of social resources to program and put it into practice. The optimization grouping of experts is one of key problems before making the feasibility study for the momentous project. This paper constructs a mathematic model of...
This paper presents an optimization approach, harmony search algorithm (HS), to solve the economic dispatch (ED) problem in the power system integrating wind energy conversion system (WECS). Three optimization techniques, genetic algorithm (GA), interior point methods (ITP) and HS are applied to solve ED when system connecting and disconnecting to WECS. The results show that HS can give the better...
In this paper, we present a novel combinatorial auction (CA) based cloud market model that facilitates dynamic collaboration (DC) among cloud providers (CPs) for providing composite/collaborative cloud services to consumers and hence can address the interoperability and scalability issues for cloud computing. Also to minimize the conflicts that may happen when negotiating among providers in a DC platform,...
Genetic Programming is applied to solve scheduling problems. The resulting tool simulates the PERT method of project control, and Genetic Programming provides multiple acceptable solutions. This tool has a wide application in the management of large and complex projects. It is a bio-inspired means to obtain solution in many disparate areas of activity such as for computer gaming, and when a complex...
Genetic algorithms, owning to their characteristics of intrinsic parallel mechanism and full optimization, can be used to search for solutions for objective programming. In this study, empirical study method was combined with the multi-objective optimization to develop a multi-objective forest harvest adjustment model by introducing Pareto multi-objective genetic algorithm into optimization model...
Estimation of the yield per area is useful to increase farmer's income.In the paper, models of the yield per area based on special 0-1 knapsack problem and multidimensional knapsack problem are presented.In order to slove the problem based on these models, genetic algorithm and ant colony algorithm are designed in the paper. And a special coding graph is designed to slove the knapsack problem.The...
The water injection system of large-scale oilfield is a very complicated pressure system, which consists of several water injection stations connecting with each other. At present, the system suffers a couple of prevailing problems, for example, low injection efficiency and high power consumption, and the dispatching and optimization of the system operation serves as an important approach to solve...
In this paper, we discuss the product selection problem of the information security technology system under the conditions of existing cooperation between the security products. We introduce the conception of cooperative performance-price ratio of such products in the system and establish a corresponding mathematical model. For this problem, we designed a dependent arithmetic based on the genetic...
In course of service marketing management, the decision-maker has to face various resource allocation problems concerning managerial elements. He/she should do his/her utmost to optimize the resource input and achieve an optimal marketing effect. This paper applies interactive genetic algorithms to set up a model for the dual optimization of service marketing and customer churn management, and have...
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