A scalable parallel implementation of Evolutionary Algorithms for Multi-Objective optimization on GPUs.
Samarth GuptaGary TanPublished in: CEC (2015)
Keyphrases
- multi objective optimization
- parallel implementation
- evolutionary algorithm
- multi objective
- graphics processing units
- optimization problems
- evolutionary computation
- differential evolution
- cpu implementation
- genetic operators
- simulated annealing
- nsga ii
- genetic algorithm
- multiple objectives
- parallel computation
- parallel implementations
- distributed memory
- pareto optimal
- genetic programming
- fitness function
- mutation operator
- multi objective genetic algorithm
- solving multi objective optimization problems
- parallel computers
- multi objective optimization problems
- evolution strategy
- multi objective genetic algorithms
- crossover operator
- message passing interface
- parallel programming
- bi objective
- optimization method
- optimization algorithm
- constrained optimization problems
- parallel architectures
- crossover and mutation
- gpu implementation
- pareto optimal set
- multiobjective optimization
- evolutionary strategy
- multi objective evolutionary algorithms
- estimation of distribution algorithms
- initial population
- differential evolution algorithm
- general purpose
- objective function