This paper presents the site selection of disaster response and rescue system, uses cloud logistics coverage model to construct multi-objective programming, uses immune optimization algorithm to simulate biological im...
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This paper presents the site selection of disaster response and rescue system, uses cloud logistics coverage model to construct multi-objective programming, uses immune optimization algorithm to simulate biological immune system to reach the optimal two-dimensional coordinates of address are(130.73, 80.43) and so on. It shortens a lot of rescue time and has a positive impact. cloud logistics coverage model reduces service radius and increases transportation flexibility. immune optimization algorithm has stronger global search ability than genetic algorithm.
This paper is based on the research background of communication problems in fighting fires in eastern Victoria, Australia. The number, combination and location of SSA drones and Radio Repeater drones involved in fire ...
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This paper is based on the research background of communication problems in fighting fires in eastern Victoria, Australia. The number, combination and location of SSA drones and Radio Repeater drones involved in fire information transmission are studied. We selected the eastern part of Victoria as the target area for our study, the area is divided into ten zones according to the intensity of the fires. The ten areas are further divided into three different fire risk levels, high-level areas arranged SSA drones patrol more times, whereas low-level areas arranged SSA drones patrol fewer times. In the third part of the article, we looked at the number of two types of drones needed to patrol all areas. It is believed that ten regions can be divided into several regular hexagons, the mathematical programming model is adopted. The constraints of fire size and frequency, inspection range, charging time and rotation times were considered. The method of discussing the side length of regular hexagon is adopted. We obtained that in theory to achieve the goal of minimum cost, the length of side of regular hexagon should be 17.3km. Without considering the charging time and charging demand, both will require 461 drones. When charging time and demand are taken into account, 515 SSA drones and 537 Repeater drones are needed. In Part 4, we looked at the last 50 years of fire data in Australia. And combined with data on climate change, AR prediction algorithm and grey neural network algorithm are combined. Modeling and predicting the size and frequency of fires over the next 10 years. Our conclusions is: with the warming of the climate, the fire density in the target area will increase year by year. According to the new fire density predicted in the target area, the fire risk level is reclassified. Using the models and calculation methods in Part 3, and the prediction is that: A total of 1,073 drones will be needed after three years to meet the fireproof safety requirements. After se
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.
Nowadays, Ebola epidemic situation is more and more severe and out of control. Taking Sierra Leone as an example, we build a reliable and extensive model to control or at least inhibit the spread of Ebola. We select 1...
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Nowadays, Ebola epidemic situation is more and more severe and out of control. Taking Sierra Leone as an example, we build a reliable and extensive model to control or at least inhibit the spread of Ebola. We select 16 cities that are affected by Ebola according to the news reports. Taking advantage of the conclusions above, we calculate the daily amount of medicines needed for each cities when considering about the demand for vaccines and drugs. Then, we turn the problem into the Location-Allocation Model skillfully when synthesizing the daily amount of medicines and geographic location, so that we get the five optimal distribution centers. We develop the feasible delivery system by the immune Optimal algorithm, and finally obtain the daily quantity of medicines of each distribution center and the bell's trend curve of daily new cases. At last, we analyze the convergence of the immunealgorithm, the resultant curve trends toward the optimal fitness curve, which proves the stability and practicality of our model.
This paper presents a fuzzy modeling with immunealgorithm to search for the optimal solution in conceptual design of ***,a new problem formulation model that involves fuzzy logic to reflect the imprecise nature of ob...
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This paper presents a fuzzy modeling with immunealgorithm to search for the optimal solution in conceptual design of ***,a new problem formulation model that involves fuzzy logic to reflect the imprecise nature of objectives is ***,an immune optimization algorithm(IOA)is used as a key technology to find the optimal solution in many combinatorial solutions,which can avoid combinatorial explosion *** fuzzy logic integrating expert knowledge can be effectively utilized in calculating fitness in IOA-based combinatorial optimization to deal with imprecise ***,a design case is presented.
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