Collaborative Multi-hop Routing in Cognitive Wireless Networks

Optimizing Fuzzy Petri Nets by Using an Improved Ant Colony Algorithm

“…In the course of establishing its solution, each ant does not use direct communication, but using pheromone directs mutual exchange of information. A greedy heuristic method on the structure is used in the process of searching, which combines with the pheromone density function to decide together the track of ants [6]. Because ACA could effectively avoid trapping into local optimum and easily implement parallel search, it often has better performance in the optimization problem of the complex and difficult system.…”

“…,in the expression, i=1,2,...,r1 is the population number of code for parameters, j=1,2,...,r2 is the sample number of initial input, (4) MMAS Manipulation This ACA is based on MMAS [6], but the global updating rule is modified. According to the updating thought in BWAS, pheromone updating is increased to the algorithm for the worst ant path.The specific steps are as follows:…”

“…Compared to the traditional optimization algorithms, ACA is widely applied in the optimization problem of the complex and difficult system because of its many advantages such as effectively avoiding trapping into local optimum, being good at dealing with discrete optimization problems and easily implementing parallel search [6].…”

“…For example, the FPN model based on a BP (Back Propagation) network (which adopts the thought of layering and could realize the optimization of all parameters including weight, threshold and CF) possesses certain generalizing capability and have improved its self-learning performance after being trained. However, in order to make the obtained parameters (after learning) closer to the ideal parameters, it needs analyzing the obtained parameters to make continuous adjustments to the initial input and the accuracy of final parameters needs to be further improved [4][5][6].…”

Heading Homing Simulation System Based on Image Intelligent Recognition

“…As the development of researches on shipping sciences and technologies has been focusing on improving shipping safety and to realize automatic ship collision avoidance, minimize and completely eradicate collision accidents by human factors from happening earlier, there is an increasing number of shipping simulator projects such as automatic yacht handling and control training and simulation platform entrusted by enterprises during the construction process of implementing platform projects. For long-term considerations, the realization of shipping intellectualization requires that the navigation equipment is equipped with a function of intelligent track control; and for shortterm considerations, the shipping intellectualization module of Ship Intelligent Handling and Control Simulation Platform requires the realization of automatic ship control (intelligent control in course and track) function [7][8][9].…”