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A global-crowding-distance based multi-objective particle swarm optimization (GCDMOPSO) algorithm is proposed in this paper. The concept of global crowding distance is introduced into the proposed algorithm to estimate the density of the non-dominated solutions in the external archive, and a dynamic global-crowding-distance based maintenance scheme is used to prune the external archive. Meanwhile,...
How to reduce energy consumption under the restraints of satisfying customer service level by effective resource allocation and scheduling has become a key issue in cloud computing. In this paper, we propose a new resources-allocation and scheduling architecture for energy consumption optimization. Based on this architecture, a new energy consumption optimization model is designed to meet the real-time...
This paper presents a two-stage approach for reconstruction of cross-cut shredded text documents. Cross-cut shredding is used to mechanically cut a document into rectangular shreds of (almost) identical shapes. After pre-processing shreds with image-based techniques, we defined a cluster quality measure called "matching proportion" (MP), with which, shreds in the same rows were found by...
A improving central force optimization algorithm (CFO) is proposed in this paper. New algorithm can adjust the size of population dynamically. With population evolution, algorithm balance the exploration and exploitation effectively. Experiments on 4 test functions show that the new algorithm is able to find good optimal solutions efficiently. Compared with existing algorithms, new algorithm improves...
Wide study and application exposes some problems of evolutionary algorithms such as premature convergence and poor performance in convergence. In order to overcome these issues, this paper proposes an adaptive co-evolutionary algorithm based on genotypic diversity measure, where adaptive selection, mutation and substitution operators are designed to realize cooperative search among operators and dynamic...
To reduce the route length of MSW collection without intermediate facilities, A Waste Collection Vehicle Arc Routing Problem with turn constraints (WCVARPTC) model was proposed, which considers the actual traffic regulations: some streets can be traversed in only one direction, some turns will be forbidden when the common angle is too narrow. An asymmetric vehicle node routing problem (AVNRP) model...
In this paper, we introduce two concepts, penalty capability and reward capability of decomposable balance function, discuss some properties of two kinds of balance function including summing and multiplying decomposable balance function invariable weight decision making, and investigate the influence of the balance function for the measure of orness for the variable weight vector. These results will...
The particle swarm optimizer algorithm is a bio-inspired optimization principle and a typical swarm intelligence algorithm whose theory base is random theory. Many researchers attempted to make the PSO process clearly from the perspective of the random theory but got some complicated and nonobjective results. In this paper from the perspective of base theory, the fitness function that evaluates the...
The traditional financial time series forecasting methods use accurate input data for prediction, and then make single-step or multi-step prediction based on the established regression model. So its prediction result is one or more specific values. But because of the complexity of financial markets, the traditional forecasting methods are less reliable. In this paper, we transform the financial time...
An improved adaptive median filter is proposed to remove the salt and pepper noise. The algorithm determines a pixel point as signal pixel or possible noise pixel according to the characteristic of the salt and pepper noise, the noise pixel is removed by adaptive median filter, the signal pixel is kept. The results show that the algorithm effectively removes the salt and pepper noise while protecting...
In this paper, a Structure-Redesigned-Based Bacterial Foraging Optimization (SRBFO) proposed in the previous work is used to reduce the computational time. Then by transplanting information communication mechanism to SRBFO, we proposed several variants of SRBFO with different topology structures, which are called SRBFO-ST, SRBFO-FC, SRBFO-Ri, SRBFO-VN and SRBFO-DN, respectively. A series of experiments...
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