We propose a novel Bayesian Optimization approach for black-box functions with an environmental variable whose value determines the tradeoff between evaluation cost and the fidelity of the evaluations. Further, we use a novel approach to sampling support points, allowing faster construction of the acquisition function. This allows us to achieve optimization with lower overheads than previous ap...

Abstract: This paper analyzes optimal monetary policy under precommitment in a state-dependent pricing (SDP) environment. Under SDP, monopolistically competitive firms are allowed to endogenously change the timing of price adjustments. I show that this endogenous timing of price adjustment alters the tradeoff and the cost of inflation variation faced by the monetary authority in comparison to t...

Cobb-Douglas Production Function was widely used in economics and productivity studies across many sectors. The function's quantitative modeling of resource inputs and production outputs is appealing to the research domain of construction management. In this thesis we explored this function's application in construction schedule crashing and project risk analysis related to duration of construc...

Mutation testing tasks are expensive in time and resources. Different cost reduction methods were developed to cope with this problem. In this chapter experimental evaluation of mutation clustering is presented. The approach was applied for object-oriented and standard mutation testing of C# programs. The quality metric was used to compare different solutions. It calculates a tradeoff between m...

Introduction. Linear transforms (such as the discrete Fourier transform) are widely used building blocks in signal processing applications. The domain of linear transforms and their algorithms is well understood mathematically. In this work, we utilize this math-level knowledge to construct a formula driven domain specific high-level synthesis tool. This tool is able to generate efficient regis...

This paper presents a novel method to solve non-linear time-cost tradeoff (TCT) problem of real world engineering projects. Multiobjective genetic algorithm (MOGA) is employed to search for optimal TCT profile. Applicability of ANN based model for rapid estimation of time-cost relationship by invoking its function approximation capability is investigated. ANN models are then integrated with MOG...

Rather than designing engineering systems from the ground up, engineers often redesign strategic portions of existing systems to accommodate emerging needs. In the redesign of mechatronic systems, engineers typically seek to meet the requirements of a new application via control redesign only, but this is often insufficient and physical system (plant) design changes must be explored. Here, an i...

In this paper, the impact of software testing effort and the efficiency on the modeling of software reliability for optimizing the cost in case of release time policy has been discussed. Another important problem in the software development process is to determine when to stop testing and release the software. If testing is stopped too early, there may be too many defects in the software, resul...