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There are many multi-objective planning problems in emergency decision-making domain. HTN planners were widely used in emergency decision-making, while they have limited ability to solve optimization, especially multi-objective optimization. Aimed to handling multi-objective in HTN planners, this paper proposes a novel method based on SHOP2, which is a domain-independent state-based forward HTN planner...
Community digital management is a key link to enhance the level of community information management. The paper introduces the features and advantages of ASP.NET and AJAX technology, analyzes the overall structure and main function modules of community digital management system, and realizes the community digital management system using of ASP.NET and AJAX technology. The practice shows that, the digital...
This paper in involved in the application of particle swarm optimization in the optimization problem of machining allowance of propeller. The optimization model of machining allowance of propeller is given at first, and the computer implementation on particle swarm optimization is discussed then for the optimization problem of machining allowance of propeller in this paper. The strategy which keeps...
A new RBF neural network is presented to overcome the shortcoming that the training process of RBF neural network is slow in the paper. The immune genetic algorithm is combined with the RBF neural network to optimize the center of the RBF network, improve the definition method of affinity degree, and introduce adjusting factor based on density. Thus the learning efficiency and approximation precision...
We apply a hierarchical control framework to a realistic arm model. With 7 degrees of freedom and 14 muscles, this arm model has complex nonlinear dynamics operating on 28-dimensional state space and 14-dimensional control space. A high-level controller is designed to capture the main features of the complex high-dimensional plant dynamics but with reduced dimensionality. This allows us to solve the...
According to rules of ants looking for food and immune genetic thought, an ant colony genetic algorithm is proposed based on immune mechanism. In precondition of keeping characteristics of the ant colony algorithm for global optimization and getting rationality of solutions in finite time, by introducing immune mechanism, the diversity of individuals can be assured and the phenomenon of long searching...
In artificial immune optimization algorithm, the mutation of immune cells has been considered as the key operator that determines the algorithm performance. Traditional immune optimization algorithms have used a single mutation operator, typically a Gaussian. A mixed mutation strategy may be more efficient than a single one. In view of this, a mixed mutation strategy using Gaussian and Cauchy mutations...
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