Project constraint parameter optimizing method based on improved artificial bee colony algorithm

Abstract

The invention discloses a project constraint parameter optimizing method based on an improved artificial bee colony algorithm. According to the method, the problem of the project constrained parameter optimization is described by the adoption of an objective function and an equality / non-equality constraint; an artificial bee colony is initialized according to the value range of parameters; partial parameters in a parameter vector is selected according to the probability M to serve as the adjusted object, and step size in search is adjusted in a self adaptive mode, so that a guide bee can search nectar sources randomly in an intra area; according to the corresponding cost function value fi of the nectar sources, the fitness function value fiti is acquired through fi, the probability Pi of follow bees being transferred to the nectar sources is further acquired, and whether position updating is conducted or not is judged; the current optimal solution is recorded in every iterative search process, and the optimized estimated value of the parameters is acquired through the finite iterative search. The step size in search changes in a self adaptive mode with the times of search, on the premise that search accuracy is not affected, search time is reduced effectively, and search efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent algorithm application, and in particular relates to an engineering constraint parameter optimization method based on an improved artificial bee colony algorithm. Background technique [0002] Engineering parameter optimization problems widely exist in people's production and life. Generally speaking, engineering parameter optimization problems are under the premise of many linear or nonlinear constraints. However, because we do not have a deep enough understanding of the solution methods for parameter optimization problems with engineering constraints, we cannot convert all the model optimization involved into the solution of linear or nonlinear equations like unconstrained problems. Therefore, there is a need for a constrained parameter optimization method that does not depend on the specific representation of the system model. [0003] In order to solve this problem, many scholars have appl...

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Problems solved by technology

[0004] The purpose of the present invention is to provide an engineering constraint parameter optimization method based on improved artificial bee colony algorithm that solves the shortcomings of general engineering constraint parameter optimization methods such as complex structure, difficult to determine, local optimum, and low search efficiency.

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