A single front genetic algorithm for parallel multi-objective optimization in dynamic environments.
Mario CámaraJulio Ortega LoperaFrancisco de ToroPublished in: Neurocomputing (2009)
Keyphrases
- multi objective optimization
- dynamic environments
- genetic algorithm
- multi objective
- evolutionary algorithm
- crossover and mutation
- nsga ii
- autonomous agents
- mobile robot
- pareto optimal
- differential evolution
- multi objective genetic algorithm
- evolutionary computation
- bi objective
- evolutionary strategy
- multiple objectives
- reinforcement learning agents
- multi objective optimization problems
- optimization algorithm
- adaptive control
- multi objective genetic algorithms
- fuzzy logic
- collision avoidance
- constrained multi objective optimization problems
- multi objective problems
- pareto optimal set
- real environment
- agent systems
- path planning
- fitness function
- particle swarm optimization
- genetic programming
- estimation of distribution algorithms
- multi objective evolutionary algorithms
- pareto optimal solutions
- single agent
- changing environment
- particle swarm optimization pso
- highly dynamic environments
- multi agent