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Intelligent robot such as Unmanned Ground Mobile Robot or Vehicle is a kind of automatic equipment without a manual operation to complete the task. This paper presents a method of trajectory planning for intelligent robots based on the ant colony algorithm under an environment with obstacles. The robot can autonomously avoid obstacles from the starting point to reach the target point during maneuver...
Sparse unmixing is based on the assumption that each mixed pixel in the hyperspectral image can be expressed in the form of linear combinations of a number of pure spectral signatures that are known in advance. Despite the success of sparse unmixing based on the L0 or L1 regularizer, the limitation of this approach on its computational complexity or sparsity affects the efficiency and accuracy. In...
In view of the shortcomings of traditional multi-objective optimal methods, this paper introduces iSIGHT which is a kind of optimal design software. Based on optimal design framework Isight, the multi-objective optimal design method and step using the Neighborhood Cultivation Genetic Algorithm (NCGA) are investigated. Taking a multi-objective optimal design of spring as the example, the Pareto optimal...
Due to low accuracy of genetic algorithm and slow speed of ant algorithm for solving the problem, a hybrid algorithm based on genetic algorithm and ant algorithm is promoted and its MATLAB implementation is introduced in this paper. Using the hybrid algorithm to solve the problems of continuous function optimization, the results show that the hybrid algorithm has faster convergence and better optimization...
The aim of this paper is to solve the portfolio problem when security returns are bifuzzy variables. Two types of portfolio selections based on chance measure are provided according to bifuzzy theory. Since the proposed optimization problems are difficult to solve by traditional methods, A hybrid intelligent algorithm by integrating bifuzzy simulation and genetic algorithm is designed. Finally, one...
Georeferencing is a key component in GIS systems. However, its performance has been dragged by the manual georeferencing process. In this paper, we develop a scalable and error tolerant automated georeferencing scheme for general affine transformations called localized matching and global optimization (LM-GO). Under LM-GO, the complexity of control point pair (CPP) matching is not directly tied to...
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