Back to Search
Start Over
Measuring Diversity of Socio-Cognitively Inspired ACO Search
- Source :
- Applications of Evolutionary Computation ISBN: 9783319312033, EvoApplications (1)
- Publication Year :
- 2016
- Publisher :
- Springer International Publishing, 2016.
-
Abstract
- In our recent research, we implemented an enhancement of Ant Colony Optimization incorporating the socio-cognitive dimension of perspective taking. Our initial results suggested that increasing the diversity of ant population — introducing different pheromones, different species and dedicated inter-species relations — yielded better results. In this paper, we explore the diversity issue by introducing novel diversity measurement strategies for ACO. Based on these strategies we compare both classic ACO and its socio-cognitive variation.
- Subjects :
- education.field_of_study
metaheuristics
Computer science
business.industry
Ant colony optimization algorithms
Population
02 engineering and technology
Variation (game tree)
artificial intelligence
diversity
03 medical and health sciences
Ant colony optimization
0302 clinical medicine
Sex pheromone
Discrete optimization
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
discrete optimization
Artificial intelligence
business
education
nature-inspired optimization
Metaheuristic
030217 neurology & neurosurgery
Diversity (business)
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-319-31203-3
- ISBNs :
- 9783319312033
- Database :
- OpenAIRE
- Journal :
- Applications of Evolutionary Computation ISBN: 9783319312033, EvoApplications (1)
- Accession number :
- edsair.doi.dedup.....bfa2a2ce3a9dc4e7abd4e6ab702b964d