An effective regenerative braking strategy based on the combination algorithm of particle swarm optimization and ant colony optimization for electrical vehicle.
Yuanbo ZhangWeida WangChao YangLijin HanZhongguo ZhangJingang LiuPublished in: ISIE (2019)
Keyphrases
- ant colony optimization
- particle swarm optimization
- swarm intelligence
- ant colony
- hybrid algorithm
- ant colonies
- metaheuristic
- evolutionary strategy
- aco algorithm
- traveling salesman problem
- particle swarm optimization algorithm
- pso algorithm
- function optimization
- ant colony optimization algorithm
- ant colony algorithm
- particle swarm optimization pso
- combinatorial optimization problems
- artificial ants
- global optimization
- minimum spanning tree
- global search
- particle swarm
- convergence speed
- optimization algorithm
- bi objective
- population based optimization
- pheromone trails
- foraging behavior
- genetic algorithm
- differential evolution
- mathematical model
- computationally efficient
- objective function
- combinatorial optimization
- computational efficiency
- simulated annealing
- cost function
- evolutionary algorithm
- search algorithm
- optimal solution
- nature inspired algorithms