This article presents a coordinated anti-collision path planning algorithm for marine surface vessels in complex multi-ship encounter. Unlike previous research that follows the optimization sequence one step after the...
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This article presents a coordinated anti-collision path planning algorithm for marine surface vessels in complex multi-ship encounter. Unlike previous research that follows the optimization sequence one step after the other from the prospective of single ship, a multi-stage anti-collision strategy from the overall perspective is established based on the principles of Synergetic theory and Queueing theory, which guarantees the compliance with navigation practice and the coordination among ships' avoidance actions. The concept of an optimization echelon is proposed to help categorize the optimization priority. Then a multilayer coding genetic algorithm enables all ships belonging to the same optimization echelon participate in the decision-making process simultaneously. Furthermore, the quantitative model of encounter situation is refined through the sensibility analysis. Finally, simulation examples consisting different traffic scenarios are analysed to demonstrate the effectiveness and practicality of the proposed scheme.
After the economic development has entered the new normal,regional material distribution featuring service characteristic towns,industrial parks and professional markets has become the new direction of intelligent log...
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After the economic development has entered the new normal,regional material distribution featuring service characteristic towns,industrial parks and professional markets has become the new direction of intelligent logistics *** to formulate the integrated solution of location selection of multiple supply centers and material scheduling of multiple demand points in the region is the hot spot of people's attention at *** supply center location of regional logistics system and demand more scheduling delivery problems,considering the cost in the process of transport distance and transport costs,established more than supply center location problems and needs more supplies scheduling optimization model,and design the multiple supply center location problem based on immune optimization algorithm solving method and material scheduling model based on multilayer coding genetic algorithm solving method,then based on the location selection and immune optimization algorithm based on multilayer coding genetic algorithm scheduling "location-scheduling" integration model and its fusion algorithm.A wisdom in jiangxi province and furniture home town industrial park of material distribution as an example,based on the proposed model and algorithm implements a set of more reasonable and feasible supply center location and demand more distribution scheme,demonstrates the rationality and validity of the method,the results of similar scenes material distribution strategy wisdom logistics system construction has a guiding significance.
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