Adaptive cuckoo and fireworks hybrid algorithm-based pressure container optimization design method

A pressure vessel and optimization design technology, applied in the improvement and application field of intelligent optimization algorithm, can solve the problems of low optimization accuracy of objective function, inability of algorithm to jump out of local optimal solution, low self-awareness and learning ability, etc.

CN106127295AInactive Publication Date: 2016-11-16XIANGTAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2016-11-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an adaptive cuckoo and fireworks hybrid algorithm-based pressure container optimization design method, and belongs to the field of improvement and application of intelligent optimization algorithms. On one hand, the search step length of cuckoo can be adjusted according to a gap between current and optimal environmental adaptation values of a bird nest, and a discovery probability of bird eggs is calculated according to a standard deviation of adaptation values of individuals, so that the search efficiency of a population is improved; and on the other hand, a ''segmented value-taking'' method is adopted for the explosion radius in a fireworks algorithm, the number of sparks is determined according to a search range of an explosion point, and the individuals can perceive a gap between the current explosion point and the optimal value, so that the fireworks algorithm can perform a jumping cross-regional search. Two sub-populations that evolve independently are fused with each other through a fixed number of generations, so that information communication among different individuals can be enhanced. The method combines the advantages of two intelligent algorithms and has a good optimization effect in pressure container optimization design.
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Description

technical field

[0001] The invention belongs to the field of improvement and application of an intelligent optimization algorithm, and relates to two novel self-adaptive optimization algorithms and a cuckoo-firework mixed algorithm of multi-population parallel evolution. Background technique

[0002] Pressure vessel design has always been a difficult problem in the application of optimization algorithms. Due to various factors such as the complex structure of the vessel, many influencing factors, and irregular feasible regions, the ideal structural parameters cannot be obtained by using traditional optimization algorithms. Therefore, some intelligent algorithms are gradually applied to this problem, such as genetic algorithm and differential evolution algorithm; however, with the development of modern industrial technology, technicians have higher requirements for the accuracy and error of container design, while the basic intelligent algorithm It has been unable to meet peo...

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Embodiment Construction

[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings. The present invention adopts the self-adaptive cuckoo and fireworks mixed algorithm, the main purpose is to solve the optimal design problem of the pressure vessel. The basic intelligent algorithm has low optimization accuracy for multi-peak, multi-variable, and high-dimensional objective functions, and individuals tend to fall into local optimal solutions, and the success rate of the algorithm is low. The present invention combines two of the most novel and effective optimization algorithms - the cuckoo algorithm and the fireworks algorithm, improves the evolution parameters and strategies of the basic algorithm, realizes the complementary advantages between the two algorithms, and improves the convergence performance of the algorithm .

[0045] Similar to the optimal design problem of pressure vessels, technicians have summarized a large number of multi-peak...