"Ant Colony Algorithm" Practical article: How to quickly get more and better outside the chain

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Ant colony algorithm Theory: Biologists found that ants in the search for food, can always reasonably use the shortest time to find the nest and food shortest path. Every ant in an ant colony is a single individual, when they are looking for food, they can leave a message on their route (a chemical ingredient that helps ants determine how many ants the road has traveled), and if there are 2 roads, they can get to the food source from the nest when the ants come to the crossroads. They will judge the path that the 2 roads walk through more ants, and then choose the shortest route they think. In the process of finding food every ant is constantly corrections its own route is the shortest.

Application of ant colony algorithm theory to SEO optimization

Maoseomao often heard such a sentence: "Do SEO is more than the resources, the implication is the quality and quantity of the chain." So how do we apply the ant colony algorithm theory to the SEO outside the chain to obtain? The following author makes a contrast, we can understand how to use ant Colony algorithm theory:

Ant colony: Ant Colony has a common goal-to get the most recent food.

Seo: Get more, better quality outside the chain.

Ant colony: Millions of, even tens of millions of of the ant individuals collaborate at the same time.

SEO: At least have more than 5 SEO outside the chain commissioner.

Ant colony: Can leave pheromone in the place where it passes by.

Seo:5 SEO Outside the chain Commissioner can have a 618.html "> responsible person, record these 5 SEO outside the chain commissioner's work, and always do communicate with each other."

Ant Colony: The long route between food and nest is slowly discarded.

Seo: The method of outside chain effect search slowly be discarded.

Ant Colony: The most recent line of food and nest will be used by ant colonies.

SEO: Do the effect of good outreach slowly by 5 SEO outside the chain commissioner to use.

Ant Colony: Finally in the shortest time, the most delicious food back to the nest.

Seo: The shortest time, high than the speed of a competitor to increase the rate of high-quality outside the chain, to get the top 10 keywords.

Conclusion: Through the above comparison, I think we should know how to apply the ant colony algorithm theory. In the process of applying this ant colony algorithm theory, we need to pay attention to several points:

1. Ants are a group, their common goal for each ant is "to find the shortest route to food and the nest, to bring food back to the nest more quickly"; The common goal of SEO outside the chain Commissioner: "To find their own optimized site related to higher quality, more outside the chain." Goals must be uniform or similar, otherwise they cannot be counted.

2. Ants communicate through "pheromone". We SEO outside the chain Commissioner needs that what to communicate, this is very important, the author's proposal is a specialized SEO supervisor to be responsible for communication, the way of communication can meet, also can use a public Notepad, this is the whole "ant colony theory" of the core, Can be based on the status of their own team to come up with a workable communication program.

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