Disposable, selective and low-cost carbon nanotube modified electrodes were fabricated for the electrochemical detection of neonicotinoid insecticide, Clothianidin (CLT). Almost 2 folds’ increase at Clothianidin reduction signal was obtained by using single-walled carbon nanotube modified electrodes (SWCNT-PGE) compared to unmodified electrodes. These nanomaterials modified electrodes developed...

A new algorithm for global optimization of costly nonlinear continuous problems is presented in this paper. The algorithm is based on the scatter search metaheuristic, which has recently proved to be efficient for solving combinatorial and nonlinear optimization problems. A kriging-based prediction method has been coupled to the main optimization routine in order to discard the evaluation of so...

Microscopic traffic simulators are useful tools for designing, evaluating and optimizing transportation systems. In order for a simulator to accurately describe reality, the corresponding traffic model must be properly calibrated. However, the calibration can be rather difficult when the model is computationally expensive and has many parameters. To overcome these difficulties, Sensitivity Anal...

When combined with machine learning, the black-box analysis of fitness landscapes promises to provide us with easy-to-compute features that can be used to select and configure an algorithm that is well-suited to the task at hand. As applications that involve computationally expensive, stochastic simulations become increasingly relevant in practice, however, there is a need for landscape feature...

Vast majority of practical engineering design problems require simultaneous handling of several criteria. For the sake of simplicity and through a priori preference articulation one can turn many design tasks into single-objective problems that can be handled using conventional numerical optimization routines. However, in some situations, acquiring comprehensive knowledge about the system at ha...

The generalized likelihood uncertainty estimation (GLUE) framework has been widely used in hydrologic studies. However, the extensive random sampling causes a high computational burden that prohibits the efficient application of GLUE to costly distributed hydrologic models such as the soil and water assessment tool (SWAT). In this study, a multimodal optimization algorithm called isolatedspecia...

This paper presents a novel solution method for joint energy and Spinning Reserve (SR) dispatch problem. In systems in which the Lost Opportunity Cost (LOC) should be paid to generators, if the LOC is not considered in the dispatch problem, the results may differ from the truly optimum solution. Since the LOC is a non-differentiable function, including it in the formulation makes the problem so...

Data mining with taxonomies merged with categorical data has been studied in the past but often limited to small taxonomies. Taxonomies are used to aggregate categorical data such that patterns induced from the data can be expressed at higher levels of conceptual generality. Semantic similarity and relatedness measures can be used to aggregate categorical values for cluster based data mining al...

This paper presents a computationally efficient method for the measurement of a dense image correspondence vector field using supplementary data from an inertial navigation sensor (INS). The application is suited to airborne imaging systems, such as an unmanned air vehicle, where size, weight, and power restrictions limit the amount of onboard processing available. The limited processing will t...

Optimization algorithms and urban inundation models are powerful tools to identify cost-effective designs of green infrastructures such as low-impact developments (LIDs). Most previous LID design optimization studies based on one-dimensional (1D) models, which cannot provide spatial information flooding. The two-dimensional (2D) or coupled 1D-2D was rarely explored due the expensive computing t...