With shorter wavelengths than microwaves and greater penetration depth infrared light, waves in the terahertz spectrum offer unique material testing opportunities. Terahertz technology offers non-invasive non-destructive form of spectroscopy imaging. The most used systems for imaging are time-domain systems. However, frequency domain could excellent resolution be more suitable biomedical applic...

The accurate estimation of optical flow is a challenging task, which is often posed as an energy minimization problem. Most topperforming methods approach this using continuous optimization algorithms. In many cases, the employed models are assumed to be convex to ensure tractability of the optimization problem. This is in contrast to the related problem of narrow-baseline stereo matching, wher...

background & aims of the study: heavy metals discharge to environment is a worldwide problem growing in scale. when they accumulate in the environment and in food chains, they can profoundly disrupt biological processes. peganum harmala seeds (phs) was used as a bio-sorbent, using a continuous system for removing pb2+, co2+, ni2+ and cu2+ ions from aqueous solutions. materials and methods: phs ...

The hybridization of population-based meta-heuristics and local search strategies is an effective algorithmic proposal for solving complex continuous optimization problems. Such hybridization becomes much more effective when the local search heuristics are applied in the most promising areas of the solution space. This paper presents a hybrid method based on Clustering Search (CS) to solve cont...

Problems dealing with the design and the operations of gas transmission networks are challenging. The difficulty mainly arises from the simultaneous modeling of gas transmission laws and of the investment costs. The combination of the two yields a nonlinear non-convex optimization problem. To obviate this shortcoming, we propose a new formulation as a multi-objective problem, with two objective...

Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high-dimensional optimization problems are an interesting field of research. Its high dimension introduces new problems for the optimization process, making recommendable to test the behavior of optimization algorithms to large-scale proble...