Static task graph scheduling using learner Genetic Algorithm.
Habib Motee GhaderKambiz FakhrMahmood JavadiGisou BakhshzadehPublished in: SoCPaR (2010)
Keyphrases
- genetic algorithm
- scheduling problem
- job shop scheduling problem
- scheduling algorithm
- fitness function
- dynamic graph
- multi objective
- learning environment
- learning process
- artificial neural networks
- graph theoretic
- random walk
- graph model
- graph structure
- graph theory
- neural network
- graph representation
- learning materials
- resource allocation
- optimal solution
- genetic algorithm ga
- evolutionary algorithm
- round robin
- simulated annealing
- resource constraints
- graph partitioning
- graph databases
- metaheuristic
- structured data
- multi objective optimization
- graph mining
- weighted graph
- multiple objectives
- bipartite graph
- learning styles
- e learning
- image segmentation
- graph data
- population size
- language learning
- learner model
- flexible manufacturing systems
- connected components