A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization.
Md. AsafuddoulaHemant Kumar SinghTapabrata RayPublished in: GECCO (Companion) (2016)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- hybrid evolutionary algorithm
- evolutionary computation
- optimization problems
- differential evolution
- nsga ii
- fitness function
- multi objective optimization problems
- parallel implementation
- multi objective genetic algorithm
- evolutionary strategy
- genetic programming
- genetic algorithm
- pareto optimal
- general purpose
- optimization algorithm
- simulated annealing
- multiple objectives
- pareto optimal set
- mutation operator
- multi objective evolutionary algorithms
- multi objective genetic algorithms
- evolution strategy
- bi objective
- function optimization
- multi objective optimisation
- crossover and mutation
- complex optimization problems
- multi objective problems
- solving multi objective optimization problems
- graphics processors
- gpu implementation
- pareto optimal solutions
- genetic operators
- parallel computing
- combinatorial optimization
- particle swarm optimization
- search algorithm