A coarse- and fine-grained niching-based differential evolution for multimodal optimization problems and its application in multirobot task allocation.
Tao MaHong ZhaoXiangqian LiFang YangChunsheng LiuJing LiuPublished in: Swarm Evol. Comput. (2023)
Keyphrases
- multi robot
- fine grained
- differential evolution
- evolutionary algorithm
- optimization problems
- coarse grained
- path planning
- mobile robot
- constrained optimization problems
- multi objective
- differential evolution algorithm
- test functions
- metaheuristic
- particle swarm optimization
- mutation operator
- optimization method
- particle swarm optimizer
- particle swarm optimization pso
- optimization algorithm
- multi robot systems
- premature convergence
- multi robot exploration
- access control
- nsga ii
- multiple robots
- genetic algorithm
- multi objective optimization
- robotic systems
- combinatorial optimization
- parameter optimization
- optimization methods
- crossover operator
- fitness function
- multi objective optimization problems
- test problems
- traveling salesman problem
- simulated annealing
- data lineage
- leader follower
- global optimization problems
- direct search
- solving global optimization problems
- numerical optimization problems
- cost function
- formation control
- search space
- neural network
- objective function
- artificial neural networks
- maximum likelihood
- surveillance system