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Real value optimization method based on binary group structure cockroach bionic algorithm

An optimization method, cockroach technology, applied in computing, computing models, artificial life, etc., can solve problems such as falling into local optimum and losing diversity, and achieve the effect of ensuring diversity

Inactive Publication Date: 2017-09-22
HUAIAN COLLEGE OF INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing cockroach bionic algorithms generally have the problem of premature convergence. The algorithm tends to converge to a local optimal solution prematurely, and then loses the diversity of understanding and falls into a local optimal solution.

Method used

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  • Real value optimization method based on binary group structure cockroach bionic algorithm
  • Real value optimization method based on binary group structure cockroach bionic algorithm
  • Real value optimization method based on binary group structure cockroach bionic algorithm

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Embodiment Construction

[0032] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments, but it should not be construed as a limitation on the technical solution. In the following description, numerous specific details are given in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without one or more of these details. In other examples, some technical features known in the art are not described in order to avoid confusion with the present invention.

[0033] figure 1 The overall flow of the cockroach bionic algorithm based on the binary group structure of the present invention is given, figure 2 The binary group structure of the cockroach population of the present invention is given. Combine below figure 1 and figure 2 , a detailed description of each step in the method:

[0034] Step S10...

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Abstract

The invention discloses a real-value optimization method based on a binary group structure cockroach bionic algorithm, which divides the cockroach population into several subgroups according to the individual subscripts of the cockroaches; Complete the optimization calculation in the binary structure formed, and complete the calculation of the next step of the cockroach through the greedy selection strategy, and then complete the calculation of the optimal solution of the entire algorithm; , and adopts a novel binary population topology structure, which makes an effective balance between ensuring diversity and global and local search, and its optimization scheme is different from the existing cockroach bionic algorithm or other real-valued optimization method.

Description

technical field [0001] The invention relates to a real value optimization method based on a binary group structure cockroach bionic algorithm. Background technique [0002] Natural computing is a type of algorithm inspired by simulating things in nature. It usually has the ability of self-adaptation, self-organization, and self-learning, and can solve various complex problems that are difficult to solve by traditional computing methods. In the past three decades, natural computing has been widely studied and applied, and many bionic algorithms inspired by nature have been proposed, such as: neural network, simulated annealing algorithm, genetic algorithm, differential evolution algorithm, particle swarm algorithm ant colony Algorithms and more. Among them, the particle swarm algorithm and the ant colony algorithm belong to a class of bionic algorithms that simulate the behavior of social creatures in natural computing, and such algorithms are also called swarm intelligence ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00
CPCG06N3/006
Inventor 程乐宋艳红华大龙杨晔刘万辉王志勃潘永安李刚郜继红
Owner HUAIAN COLLEGE OF INFORMATION TECH
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