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An improved wolf pack algorithm based on firework explosion behaviors

A firework explosion and wolf pack algorithm technology, which is applied in calculation, calculation model, two-dimensional position/channel control, etc., can solve the problems that update rules are easy to fall into local optimum and low optimization efficiency, and achieve enhanced global optimization Ability, ability to improve local exploration, and the effect of improving efficiency

Inactive Publication Date: 2019-06-18
CHONGQING UNIV OF POSTS & TELECOMM
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  • Description
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AI Technical Summary

Problems solved by technology

Based on the analysis of the characteristics of cooperative hunting activities of wolves, the present invention aims to improve the traditional wolf pack algorithm, which has low search efficiency due to fixed search direction and search radius, and the update rules are easy to fall into local optimum.

Method used

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  • An improved wolf pack algorithm based on firework explosion behaviors
  • An improved wolf pack algorithm based on firework explosion behaviors
  • An improved wolf pack algorithm based on firework explosion behaviors

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Embodiment Construction

[0030] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0031] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to an improved wolf pack algorithm based on firework explosion behaviors, belongs to the technical field of robot path planning, and aims to reduce the exploration pace of exploded fireworks close to a prey and improve the local exploration capability by introducing the exploration rule of the exploded fireworks of a fireworks algorithm, and increase the search radius of theprey far away from the prey and improve the global search capability. The moving step length of the running behavior is improved, the step length is automatically adjusted according to the position ofeach wolf, and the running behavior efficiency is improved. And the updating rule of the wolf pack algorithm is improved, and wolf pack individuals are selected and eliminated according to probabilities, so that the global optimization capability of the algorithm is enhanced. The method has the advantages of high convergence speed and high convergence precision.

Description

technical field [0001] The invention belongs to the technical field of robot path planning, and in particular relates to an improved wolf pack algorithm based on the explosion behavior of fireworks. Background technique [0002] Path planning is the key technology for mobile robots to realize autonomous navigation. Mobile robot path planning is a method to find a feasible and collision-free path problem in a mobile environment. At present, path planning methods can be mainly divided into traditional path planning methods and path planning algorithms using swarm intelligence algorithms. Traditional path planning algorithms, such as A * Algorithm, D * Algorithms and artificial potential field methods; swarm intelligence algorithms include genetic algorithms, ant colony algorithms, artificial fish swarm algorithms, particle swarm algorithms, and wolf swarm algorithms. Since the swarm intelligence algorithm is based on the probability search algorithm, it has the advantages o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G05D1/02
Inventor 陈旭陈雪峰张毅李奎
Owner CHONGQING UNIV OF POSTS & TELECOMM
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