A Research On Compact Optimization For Powerhouses Layout

In the early design of special vehicles,it was considered to use limited materials to build a large and shocking body,so as to produce a greater sense of shock.With the change of modern application environment,especially in the background of the transportation and the wild terrain application,the demand for special vehicles gradually tends to miniaturization,lightness and space compactness without reducing the function of the vehicles.This paper takes the powerhouses of special vehicles as the main research object,the compact layout optimization as the goal and several efficient algorithms are studied.The main work includes the following aspects:A detailed analysis of the powerhouses layout optimization problem.In order to ensure the feasibility of engineering application,the spatial constraints of each component are analyzed,the position constraints and form constraints of the component are described by mathematical models,and the correctness of the design method is verified by a small case.In addition,the contact constraints between the components are analyzed,including the sequential position constraints and the location connection constraints.Multiple parameter matrices are introduced to express the above constraints mathematically,based on the existing position and form constraints.The integer programming model with complex constraints is established by combining all the above mathematical expressions.The model can precisely control the state of components in space.The height adjustment model and center adjustment model are further proposed from the test results.Combined with the overall design principle of tank,five computed results of the actual case are analyzed for the engineering applicability.Finally the layout probject that meet the design requirements is obtained,which provided a reference for the powerhouses layout.Considering the limited solution scale of precise algorithm,this paper compared and studied many kinds of computational intelligence algorithms,and found that the artificial bee colony algorithm has great advantages in solving powerhouses layout problem.Firstly,the binary coding structure is proposed.The standard solution frame of several intelligent algorithms(artificial bee colony algorithm,genetic algorithm,particle swarm optimization algorithm and differential evolution algorithm)are analyzed,and the algorithm operator is modified reasonably to solve the problem in this paper.Then,a non-interference decoding strategy based on the lower-left strategy is designed to calculate the fitness of the above algorithms as an evaluation index of algorithm evolution.The standard data set of three-dimensional bin packing problem is introduced to test the above algorithms.The computed results show that the artificial bee colony algorithm has a more prominent convergence effect.Finally,the results of the precise algorithm in this paper are compared with the accurate algorithm results.The advantages,disadvantages and applicable scenarios of the two algorithms are illustrated.In this paper,Python and PyQt5 are used to realize dynamic 3d visualization of optimization results.All the above solution modules are encapsulated to develop and design the powerhouses layout optimization system.The system is mainly used to solve powerhouses layout problems.While it is also suitable for the container loading problem with complex constraints.In addition,the system also supports data input,parameter setting of model and algorithm,data and result export and other functions.Finally,the feasibility of the system is verified by the effective operation of the system case.