ScatterD: Spatial deployment optimization with hybrid heuristic/evolutionary algorithms.
Jules WhiteBrian DoughertyChris ThompsonDouglas C. SchmidtPublished in: ACM Trans. Auton. Adapt. Syst. (2011)
Keyphrases
- evolutionary algorithm
- optimization problems
- evolution strategy
- optimization method
- differential evolution
- multi objective
- evolutionary computation
- optimization algorithm
- evolutionary strategy
- simulated annealing
- particle swarm
- multi objective optimization
- spatial data
- genetic programming
- constrained optimization
- differential evolution algorithm
- optimization process
- spatial relations
- spatio temporal
- space time
- genetic algorithm
- fitness function
- knapsack problem
- hybrid algorithm
- evolutionary process
- evolutionary search
- spatial information
- metaheuristic
- discrete optimization
- estimation of distribution algorithms
- population based incremental learning
- multidisciplinary design optimization
- global convergence
- spatial correlation
- data sets
- optimization model
- mutation operator
- global search
- test problems
- optimization methods
- global optimization
- spatial and temporal
- genetic algorithm ga
- computational intelligence
- artificial neural networks
- video sequences
- objective function