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Genetic ant colony algorithm matlab program
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Application background The population diversity and global search ability of genetic algorithm, and the positive feedback mechanism of ant colony algorithm and the fast convergence performance of the algorithm in a proper way, so as to achieve the effect of two aspects of genetic algorithm and ant colony algorithm, which we call genetic ant colony algorithm, referred to as GAAA. Key Technology Genetic algorithm is a kind of algorithm which has a long history and has a long history. It has the ability of global search. Because of the feedback information in the system, it is often used to do a lot of redundant iteration, and the efficiency is low. Ant colony algorithm is relatively new, it is a kind of ant colony foraging behavior of social insects, is good at solving the problem of combination optimization, but because of the lack of initial pheromone, with the size of the problem, the search time of the algorithm is longer, resulting in slow spe
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Multiple objective programming to solve the minimu
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Application background Multi objective programming is a common method to solve the existence of multiple objective optimization, and it has a very important significance. The use of computer technology to solve the problem, there is a great advantage, can easily solve the problem, this code is for this purpose. Key Technology A function model is set up to minimize the delay and minimum emission as the target, and the 2 targets are combined with the weighted coefficient, and the MATLAB programming is used to solve the problem.
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