The Influence of Biology on Computer Science

Adaptive genetic algorithms involve changing the probability of recombination and mutation in each generation to maintain the population diversity. Scientists have modelled swarming and this has led to the development of swarm intelligence as a component of artificial intelligence. A computer progra...

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Published inBiomimetics pp. 107 - 113
Main Author Primrose, Sandy B
Format Book Chapter
LanguageEnglish
Published United Kingdom John Wiley & Sons, Incorporated 2020
John Wiley & Sons, Ltd
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ISBN1119683327
9781119683322
DOI10.1002/9781119683360.ch7

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Abstract Adaptive genetic algorithms involve changing the probability of recombination and mutation in each generation to maintain the population diversity. Scientists have modelled swarming and this has led to the development of swarm intelligence as a component of artificial intelligence. A computer program called Boids was developed. The boids framework often is used in computer graphics to provide realistic‐looking representations of flocks of birds and other creatures, such as schools of fish or herds of animals. Particle swarm optimization is an algorithm that is simple and easy to implement. A major application of swarm intelligence is the control of swarms of robots and drones. A number of academic studies have shown SWARM to significantly improve the accuracy of insights generated from human groups. The use of SWARM has moved beyond academia and is being used, for example, to improve the design of aircraft cockpits, predict sales of clothing lines, and to improve clinical diagnoses.
AbstractList Adaptive genetic algorithms involve changing the probability of recombination and mutation in each generation to maintain the population diversity. Scientists have modelled swarming and this has led to the development of swarm intelligence as a component of artificial intelligence. A computer program called Boids was developed. The boids framework often is used in computer graphics to provide realistic‐looking representations of flocks of birds and other creatures, such as schools of fish or herds of animals. Particle swarm optimization is an algorithm that is simple and easy to implement. A major application of swarm intelligence is the control of swarms of robots and drones. A number of academic studies have shown SWARM to significantly improve the accuracy of insights generated from human groups. The use of SWARM has moved beyond academia and is being used, for example, to improve the design of aircraft cockpits, predict sales of clothing lines, and to improve clinical diagnoses.
Author Primrose, Sandy B
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Snippet Adaptive genetic algorithms involve changing the probability of recombination and mutation in each generation to maintain the population diversity. Scientists...
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StartPage 107
SubjectTerms adaptive genetic algorithm
artificial intelligence
Boids
particle swarm optimization
Title The Influence of Biology on Computer Science
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