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Genetic algorithm and algorithm wireless sensor co
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This experiment is an experiment of genetic algorithm and fish swarm algorithm to solve wireless sensor coverage problem (combinatorial optimization class). Code for reference, just change the objective function can do other experiments.
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Particle Swarm Optimization algorithm for sensor n
1.0
This code implements the functions is the use of particle swarm optimization algorithm for sensor network node configuration
virtual force algorithm parameters optimization. After optimization, the node configuration is better than before.
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Genetic algorithm program package Matlab
4.0
This is a complete set of genetic algorithm source code, genetic algorithm (genetic algorithm) is a simulation of Darwin
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Article bee conoly algorithm
4.0
This is classic artificial bee colony algorithm source code. It can be changed according to their needs any straightforward.
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Classic artificial bee colony algorithm
4.0
The simulation of traditional artificial bee colony algorithm in C platform, artificial bee colony algorithm is an optimization method which imitates the behavior of bees, is a specific application of the idea of swarm intelligence, its main feature is that it does not need to understand the special information of the problem, only need to compare the advantages and disadvantages of the problem, through the local optimization behavior of each artificial bee individual, finally make the global optimization in the group The results show that the convergence rate is faster. In order to solve the problem of multivariable function optimization, karaboga proposed the ABC model of artificial bee colony algorithm.
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