A (μ, λ) evolutionary and particle swarm hybrid algorithm, with an application to dinosaur gait optimization.
Yoshiyuki MatsumuraAyumu KobayashiKiyotaka SugiyamaTodd C. PatakyToshiyuki YasudaKazuhiro OhkuraBill SellersPublished in: IWCIA (2013)
Keyphrases
- particle swarm
- hybrid algorithm
- particle swarm optimization
- hybrid optimization algorithm
- optimization method
- genetic algorithm
- particle swarm algorithm
- optimization strategy
- optimisation problems
- distribution network
- premature convergence
- simulated annealing
- differential evolution
- pso algorithm
- particle swarm optimization algorithm
- optimization algorithm
- binary particle swarm optimization
- particle swarm optimization pso
- global convergence
- evolutionary algorithm
- tabu search
- ant colony optimization
- multi objective
- evolutionary computation
- artificial bee colony algorithm
- hybrid method
- hybrid particle swarm optimization
- swarm intelligence
- global optimization
- hybrid algorithms
- optimization methods
- estimation of distribution algorithms
- optimal solution
- particle swarm optimisation
- standard test problems
- imperialist competitive algorithm
- fitness function
- standard pso
- test functions
- global search
- global optimum
- optimization problems
- search algorithm
- neural network