Many engineering problems can be cast as optimization problems subject to convex constraints that are parameterized by an uncertainty or 'instance' parameter. Two main approaches are generally available to tackle constrained optimization problems in presence of uncertainty: robust optimization and chance-constrained optimization. Robust optimization is a deterministic paradigm where one seeks a...

In our day-to-day discourse on uncertainty, words like belief, chance, plausible, likelihood and probability are commonly encountered. Often, these words are used interchangeably, because they are intended to encapsulate some loosely articulated notions about the unknowns. The purpose of this paper is to propose a framework that is able to show how each of these terms can be made precise, so th...

Due to its flexible and pervasive sensing ability, crowdsensing has been extensively studied recently in research communities. However, the fundamental issue of how to meet the requirement of sensing robustness in crowdsensing remains largely unsolved. Specifically, from the task owner’s perspective, how to minimize the total payment in crowdsensing while guaranteeing the sensing data quality i...

Autonomous agents operating in partially observable stochastic environments often face the problem of optimizing expected performance while bounding the risk of violating safety constraints. Such problems can be modeled as chance-constrained POMDP’s (CCPOMDP’s). Our first contribution is a systematic derivation of execution risk in POMDP domains, which improves upon how chance constraints are h...

With the numerous benefits of informal learning environments come large pragmatic constraints that may hinder the success and depth of the learning that the setting was intentionally created to support. If certain pragmatic issues including the type of activity chosen, time constraints, and high demands for facilitation are left to chance, then the learning will also be left to chance. By recog...

Project scheduling problem is to determine the schedule of allocating the loans to a project in order to balance the total cost and the completion time of the project under some constraints. This paper considers project scheduling problem in an uncertain environment, of which the duration time of each activity is an uncertain variable. Then uncertain chance-constrained programming model is cons...

introduction: the critical dependence of healthcare services systems on information along with the indigenous restriction of paper documents in satisfying this need has caused a trend toward computer information systems. the main goal of such systems is to achieve electronic health records (ehr). however, implementation of ehr in healthcare organizations is difficult and complicated. this resea...

Data is an infinite resource, a new form of capital in the knowledge economy. In absence data regulation, global technological corporations seek to expand their influence at each link chains and use market power build monopolies. can generate not only profits for tech giants but also social value; however, forces by themselves will create data-based public goods. For this, government actions ar...

Integrated visible light positioning and communication (VLPC), capable of combining advantages communications (VLC) (VLP), is a promising key technology for the future Internet Things. In VLPC networks, are inherently coupled, which has not been sufficiently explored in literature. We propose robust power allocation scheme integrated Networks by exploiting intrinsic relationship between communi...

For realizing large-scale distribution network simulation applicable to supply-chain management, it is required to solve hundreds of time constraint large-scale (100 cities) Traveling Salesman Problem (TSP) within interactive response time, with practicable optimality. Thus, a "selfish-gene with limited allowance" type GA is proposed. Here, each gene of an individual satisfies only its constrai...