MHACO: a Multi-Objective Hypervolume-Based Ant Colony Optimizer for Space Trajectory Optimization.
Giacomo AcciariniDario IzzoErwin MooijPublished in: CEC (2020)
Keyphrases
- ant colony
- multi objective
- optimization algorithm
- uniform design
- genetic algorithm
- nsga ii
- ant colony algorithm
- improved ant colony algorithm
- ant colony optimization
- evolutionary algorithm
- particle swarm optimization
- multi objective optimization
- multiple objectives
- global optimization
- evolutionary optimization
- optimum design
- optimisation algorithm
- multiobjective optimization
- conflicting objectives
- optimization method
- objective function
- optimization problems
- differential evolution
- particle swarm optimization pso
- ant colonies
- particle swarm
- neural network
- ant colony optimisation
- search space
- multi objective problems
- trajectory data
- mathematical model
- nature inspired
- ant miner
- query optimization
- pheromone trails
- learning algorithm
- genetic programming