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Ocean remote sensing based satellite image is useful for the Earth observation such as altimetry, Significant Wave Height, and wind speed measurement. However, The Global Navigation Satellite System (GNSS) represents the new challenge using special feature of the reflected signal to observe characteristics of the ocean call GNSS - reflectometry. The advantages of this technique are that using the...
This paper presents the routing recovery problem of mobile sink wireless sensor networks (mWSNs), which is caused by the sink mobility. We propose an immune orthogonal learning particle swarm optimization algorithm (IOLPSOA) based routing recovery method to build and optimize the alternative path, in order to repair the broken path and maintain the available route from the source nodes to the mobile...
In this paper, the cloud services optimization problem considering energy consumption cost is discussed. The queue model is presented for customer request service on data center. Since the server energy utility is based on the CPU core frequency, the novel trade-off optimization model between services revenue and energy loss cost is proposed in the paper, including allocating the dynamic CPU frequency...
This paper proposed a method of path planning in three-dimensional space based on concentric spherical coordinate and improved particle swarm optimization algorithm. First the model of three-dimensional path planning of UAV was analyzed. Then the encoding method based on concentric spherical coordinate system was given. The constraints were combined with the improved particle swarm optimization algorithm...
To handle multicriteria fuzzy decision-making problems, a new multicriteria decision-making method is proposed in which the information about criteria's weights is not completely certain, and the criteria values of alternatives are Atanassov's intuitionistic fuzzy sets (A-IFSs). Using evidential reasoning algorithms, the criteria values are aggregated; receiving the overall A-IFS for alternatives...
The contour point set is a very important feature for an object image. Finding the correspondences between two sets of contour points is a difficult task, especially under projective transformation. It has wide spread applications. For example, it can be used for object recognition by matching points derived from object models with points extracted from imagery. In this paper, a new contour point...
The Particle Swarm Optimization (PSO) plunges into the local minimum easily. In order to overcome this shortcoming, we propose an improved PSO algorithm with the features of linearly decreasing of inertia weight and the re-initialization of the particle when it gets stagnated. The improved PSO is a local PSO and its topology is wheels. From the experimental results of three non-linear testing functions...
The shortcomings of some existing Particle Swarm Optimization (PSO) algorithms are analyzed and an improved discrete PSO algorithm with wheels topology which updates the particles' positions by using swap operator, swap sequence and partially matched crossover based on the local PSO is proposed in the present study. A mutation process in which all the particles are reinitialized when the swarm is...
In this paper, a new problem is defined according to the actual project requirement. It is resource leveling problem under resource constrained condition. Unlike the single resource leveling problem, or the resource constrained scheduling problem, this new problem will consider not only resource usage evenness, but also the shortest project duration under resource constrained condition. A new objective...
The allocation optimization of project human resource is one of the most essential aspects in a project management. A situation with employees working on tasks that they are not well-suited for can lead to a significant loss of time and resources in addition to a sub-par product or service. This paper present a project human resource allocation method based on particle swarm optimization (PSO) in...
Optimization of a similarity metric is an essential component in intensity-based medical image registration. In this paper, an improved variable neighborhood selection based particle swarm optimization (VNS-PSO) is proposed. The PSO algorithm is co-operative, population-based global search swarm intelligence mataheuristics. The improved version of PSO algorithm possesses better ability to escape from...
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