Particle swarm optimization is an established, effective technique for global optimization, but one which is prone to delivering sub-optimal results when faced with multimodal functions, especially when the local optima are found in regions where the objective function varies rapidly. The failure of the swarm to venture into these regions is not just of theoretical interest; it has been observe...

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...

This study proposes the segmentation procedure of univariate time series based on Fisher’s exact test. We show that an adequate change point can be detected as the minimum value of p-value. It is shown that the proposed procedure can detect change points for an artificial time series. We apply the proposed method to find segments of the foreign exchange rates recursively. It is also applied to ...

In the context of carbon trading, energy conservation and emissions reduction are development directions integrated systems. order to meet requirements in power grid, considering different responses system time periods, a wind-hydrogen multi-time scale scheduling model was established optimize energy-consumption problem system. As is multiobjective nonlinear problem, artificial fish swarm algor...

Abstract Efficient and accurate porosity prediction is essential for the fine description of reservoirs, which an optimized BP neural network (BPNN) model proposed. Aiming at problem that BPNN sensitive to initialization converges local optimum easily, improved shuffled frog leaping algorithm (ISFLA) proposed based on roulette genetic coding. Firstly, a mechanism introduced improve selection pr...

This study aimed to determine the integrated freshness index (IFI) of eggs using Vis-NIR spectroscopy and optimized support vector regression, which gave first insight into quality from biochemical essence changes. In this work, transmission spectra brown-shell pink-shell egg samples were analyzed between 500 nm 900 nm. Standard normal variables (SNV) used normalize spectral data, Shuffled Frog...

We examined whether the perception of the colorfulness of an image is influenced by the adaptation of the visual system to natural and shuffled images with different degrees of saturation. In the experiment, observers first became adapted to several images with different levels of saturation and then their colorfulness perception of a test image was measured. The results show that their percept...

SUMMARY Assessing the statistical significance of structured RNA predicted from multiple sequence alignments relies on the existence of a good null model. We present here a random shuffling algorithm, Multiperm, that preserves not only the gap and local conservation structure in alignments of arbitrarily many sequences, but also the approximate dinucleotide frequencies. No shuffling algorithm t...