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Combining lessons from ants and birds to improve AI
Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...
1 Department of Computer Science, Ignatius Ajuru University, Port Harcourt, Nigeria. 2 Department of Computer Science, Federal University, Yenagoa, Nigeria. Adaptability and dynamicity are special ...
Ant behavior was the inspiration for the optimization technique. Image via Wiki Commons. Scientists often look to unexpected places to find inspiration for algorithms — and this is one of those ...
Ants are known as social insects that form large herds while sharing roles between queen ants, worker ants, and soldier ants. The behavior of ants forming nests and forming a route to the feeding ...
The shortest path problem is solved by many methods including heuristics that offer lower complexity in expense of accuracy. There are many use-cases where the lower accuracy is acceptable in return ...
Abstract: Aiming at the problem that ant colony algorithm is easy to fall into local optima and slow convergence, a multi-colony collaborative ant optimization ...
Abstract: In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-population strategy, co-evolution mechanism, pheromone updating strategy, and pheromone diffusion ...
Programmer Joel Simon has created an experimental research project, Evolving Floor Plans, to explore speculative and optimized plan layouts using generative design. Interested in the intersection of ...
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