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Rock burst is one big dynamic disaster in deep mine. For the influence factors of rock burst are numerous and their relationship is very complicated, it's forecasting is a very hard work, so generally based on engineering analogy and geology analysis, the clustering methods are used in rock burst forecasting field. For the complicated environment influence of rock burst, this clustering problem is...
In this paper, a new mechanism for the optimal energy consumption in WSNs is presented on the basis of the ant colony algorithm(ACA). The proposed mechanism can realise a best allocation of the energy for each single node in a given network. Simulation results show that, comparing with the directed diffusion routing method, the new routing mechanism can reduce the main nodes' energy consumption and...
A new sub-space max-monomial modeling scheme for CMOS transistors in sub-micron technologies is proposed to improve the modeling accuracy. Major electrical parameters of CMOS transistors in each sub-space from the design space are modeled with max-monomials. This approach is demonstrated to have a better accuracy for sub-micron technologies than single-space models. Sub-space modeling based geometric...
With the development of air traffic transportation industry, present design capacity can not meet future demand. Multi-airport system is the research object of this paper. The main influencing factor of multi-airport system capacity is partial route legs have less capacities. This paper combines the restricted optimization method of simultaneous perturbation stochastic approximation (SPSA) and hierarchical...
The ant colony optimization is a new meta-heuristic, it is a population based algorithm and is a good method for combination optimizations. Due to the random probabilistic search strategy, the slow convergence is the main problem of the ACO. In order to improve the convergence of the algorithm, the premium-penalty ant colony optimization (PPACO) is proposed. In this new algorithm, the good solutions...
The paper concerns the optimal inspection strategies of complex systems subject to block-chain precedence constraints. Supposing a system consists of independent components, and each of which has a known probability of working. The state of each component can be determined by inspecting it for some inspection cost, the true state of the system can be obtained by sequentially inspecting its components...
In this paper, two techniques based on the optimization of end-to-end distortions in presence of channel errors, are proposed to enhance the error resiliency of the multi-hypothesis coded videos. First, an error resilient motion estimation algorithm is introduced for a given hypothesis-weighting vector to consider the error resiliency, in addition to the traditional coding efficiency. Second, based...
Ant Colony Algorithm is a very good combination optimization method from mimic the swarm intelligence of ant colony behaviours. To extend the traditional Ant Colony Algorithm to continuous optimization problems, from the connections of continuous optimization and searching process of Ant Colony Algorithm, here one new Continuous Ant Colony Algorithm is proposed. To verify the new algorithm, the typical...
Ant colony optimization (ACO) is a new natural computation method from mimic the behaviors of ant colony.It is a very good combination optimization method. To extend the ant colony optimization, some continuous ant colony optimizations have been proposed. To improve the searching performance, the principles of evolutionary algorithm and artificial immune algorithm have been combined with the typical...
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