A high-throughput computing environment for job shop scheduling (JSP) genetic algorithms.
Paul WalshPio FentonPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- high throughput
- computing environments
- job shop scheduling
- job shop scheduling problem
- tabu search
- genetic algorithm
- scheduling problem
- simulated annealing
- microarray
- genome wide
- metaheuristic
- biological data
- systems biology
- memetic algorithm
- combinatorial optimization problems
- data acquisition
- fuzzy logic
- protein protein interactions
- genomic data
- evolutionary algorithm
- service discovery
- neural network
- search algorithm
- fitness function
- mobile agents
- optimization problems
- mass spectrometry data
- multi objective
- low latency
- pervasive computing environments
- vehicle routing problem
- benchmark problems
- differential evolution
- evolutionary computation
- gene expression
- mass spectrometry
- ant colony optimization
- genetic programming
- np hard
- proteomic data
- resource constraints
- gene expression data
- special case