The current paper addresses the distributed guaranteed-cost synchronization problems for general high-order linear multiagent networks. Existing works on the guaranteedcost synchronization usually require all state information of neighboring agents and cannot give the cost budget previously. For both leaderless and leader-following interaction topologies, the current paper firstly proposes a dy...

Crowdsourcing provides a popular paradigm for data collection at scale. We study the problem of selecting subsets of workers from a given worker pool to maximize the accuracy under a budget constraint. One natural question is whether we should hire as many workers as the budget allows, or restrict on a small number of topquality workers. By theoretically analyzing the error rate of a typical se...

This dissertation studies the parameter estimation problem of Bayesian networks in the budgeted learning setting. More precisely, we assume that the correct structure of the Bayesian network representing the underlying distribution is given together with a fixed positive budget, and each data attribute of the training set is associated with a cost. During the training phase, the learner is allo...

emission trading is one of the famous mechanisms under kyoto protocol to control environmental pollution. the aim of this paper is to design a strategic supply chain network under emission trading scheme with inclusion of stochastic parameters and budget limitation. demand and price of carbon credits are considered as the important stochastic parameters influencing the supply chain network. in ...

Recently there is an increase in smaller, domain–specific search engines that scour the deep web finding information that general–purpose engines are unable to discover. These search engines play a crucial role in the new generation of search paradigms where federated search engines (FSEs) integrate search results from heterogeneous sources. In this paper we pose, for the first time, the proble...

Given a fixed budget, the generic relocation problem seeks to determine a feasible reconstruction sequence of old buildings for a public housing project. The feasibility issue can be resolved because it is mathematically equivalent to makespan minimization in a two-machine flowshop. In this paper, we consider the variant where multiple working crews are available for the redevelopment project. ...

In order to achieve a specific result, firm’s problem-solving activities can be thought of as process that combines physical and cognitive actions. Its internal organization determines how information inputs are distributed among different task units and, the workload is distributed. We tested case study related Iranian small medium enterprises (SMEs). used NCA analysis creative state-of-the-ar...

With the recent advances of the VLSI technologies, stabilizing the physical behavior of VLSI chips is becoming a very complicated problem. Power grid optimization is required to minimize the risks of timing error by IR drop, defects by electro migration (EM), and manufacturing cost by the chip size. This problem includes complicated tradeoff relationships. We propose a new approach by observing...

This paper addresses a new version of the exible ow line prob- lem, i.e., the budget constrained one, in order to determine the required num- ber of processors at each station along with the selection of the most eco- nomical process routes for products. Since a number of parameters, such as due dates, the amount of available budgets and the cost of opting particular routes, are imprecise (fuzz...