Mobile crowd-sensing (MCS) is a data collection paradigm, which recruits mobile users with smart devices to perform sensing tasks on city-wide scale. In MCS, key challenge task allocation, especially when MCS applications are time-sensitive, and the platform needs consider completion order (since worker may multiple different orders lead travel costs response times, i.e., times needed arrive at...

abstract: implementing a combined cooling, heating and power system(cchp) to cool, heat and produce electricity is growing rapidly due to its efficiency and low emissions. in this paper, using economic analysis, the size and operation detail of the required gas engine and the specific electricity, cooling and heating load curves for a one year operating period has been determined. the proposed ...

Human resource is a key factor for IT new product development. Considering multi-skilled employees in IT Project Portfolio Scheduling, a mixed integer nonlinear programming model with three optimization objectives is proposed from the view of project or product managers. The three objectives are to maximize the increments of skill efficiency values for all multi-skilled employees, to minimize R...

Many real life optimization problems cannot be modeled adequately using linear programming. Other techniques such as integer programming and non-linear programming are typically used to solve these problems. However, these techniques provide limited view of the solution space and have serious limitations dealing with the stochastic nature of the constraints. This paper investigates the principl...

In this paper, an integer programming model for the hierarchical workforce problem under the compressed workweeks is developed. The model is based on the integer programming formulation developed by Billionnet [A. Billionnet, Integer programming to schedule a hierarchical workforce with variable demands, European Journal of Operational Research 114 (1999) 105–114] for the hierarchical workforce...

The random assignment problem is to minimize the cost of an assignment in a n×n matrix of random costs. In this paper we study this problem for some integer valued cost distributions. We consider both uniform distributions on 1, 2, . . . , m, for m = n or n, and random permutations of 1, 2, . . . , n for each row, or of 1, 2, . . . , n for the whole matrix. We find the limit of the expected cos...

Optimization of the product portfolio has been recognized as a critical problem in industry, management, economy and so on. It aims at the selection of an optimal mix of the products to offer in the target market. As a probability function, reliability is an essential objective of the problem which linear models often fail to evaluate it. Here, we develop a multiobjective integer nonlinear cons...

Models in which employers learn about the productivity of young workers, such as Altonji and Pierret (2001), have two principal implications: First, the distribution of wages becomes more dispersed as a cohort of workers gains experience; second, the coe¢ cient on a variable that employers initially do not observe, such as the Armed Forces Quali…cation Test (AFQT) score, grows with experience. ...

– The paper presents an effective procedure for control design of multi input – multi output nonlinear processes. The procedure is based on an approximation of a nonlinear model of the process by a continuoustime external linear model in the form of the left polynomial matrix fraction. The parameters of the continuoustime external linear model are recursively estimated either by a direct method...

The technical equipment developed and used in both installation and operation processes in refineries, oil and gas pipelines, and gas booster stations has always been expensive. Hence, managers at different organizational levels are keen to find methods to control and reduce these costs. Generally speaking, the operators in a gas booster station choose the operating devices without considering ...