Topological clustering of maps using a genetic algorithm

Pattern Recognition Letters

Volumn 16, Issue 1, 1995, Pages 89-96

  Maio, Dario ^a   Maltoni, Davide ^a   Rizzi, Stefano ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Clustering; Fitness function; Genetic algorithms; Learning; Maps

Indexed keywords

FUNCTIONS; GRAPH THEORY; GRAPHIC METHODS; PATTERN RECOGNITION; TOPOLOGY;

CLUSTERING; FITNESS FUNCTION; LANDMARKS; VERTICES;

GENETIC ALGORITHMS;

EID: 0029203922     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(94)00069-F     Document Type: Article

References (14)

1. An empirical study of bit vector function optimization
2. Genetic algorithms for clustering with an order representation
3. Dynamic clustering for time incremental data
4. Job shop scheduling with genetic algorithms
5. Genetic algorithms and simulated annealing: an overview
6. Solving partitioning problems with genetic algorithms
7. Optimization by simulated annealing
8. Clustering by discovery on maps
9. Map learning and clustering in autonomous systems
10. A hybrid approach to path planning in autonomous agents
11. Development of intelligent robots achievements and issues
12. A deterministic annealing approach to clustering
13. Scheduling problems and traveling salesman: the genetic edge recombination operator