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The place it stands out from different swarm algorithms
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This text is a continuation of my nature-inspired sequence.
Beforehand, I talked about Evolutionary Algorithm (EA), Particle Swarm Optimization (PSO), in addition to Synthetic Bee Colony (ABC). Nature is in every single place, and there’s definitely extra areas the place people can profit by studying from nature.
At the moment, we give attention to ants.
As kids, we learnt that ants are hardworking and cooperative. What our dad and mom hadn’t taught us was that ants collectively kind a extremely subtle swarm that communicates with each other successfully.
Data of ants or pheromones (or any diffusion of any chemical substances) shouldn’t be required right here in any respect. These are simply names used for the aim of packaging. I’ve proven beforehand that you do not want the slightest data of a bee’s waggle dance to be able to respect or make the most of ABC, nor do it’s worthwhile to study genes or mutations or replica to use EA.
All you want is an understanding of English to have the instinct, together with very fundamental math and python programming abilities. Whereas I can be displaying some arithmetic for completeness, which incorporates Greek symbols, it’s actually only for the aim of completeness. It might be a fantastic pity if these technical-sounding phrases or symbols cease you from studying these nice algorithms, so do your self a favor and browse on.
Earlier than going into any math or code, and even how the algorithm works at a excessive degree, it is sensible to see the relevance. In any case, if it doesn’t assist to resolve an issue, why trouble within the first place?
The traditional instance which lecturers or proponents of Ant Colony Optimization (ACO) use is the double bridge experiment [1], which exhibits that this algorithm can be utilized to seek out the shortest path between two factors.
Furthermore, it’s sturdy to adjustments within the setting. If current paths get obstructed, and/or if new paths come up, the answer might be up to date with ease, as a substitute of re-computing every part from scratch.
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