(μ, λ) evolutionary and particle swarm hybrid algorithm over cloud computing, with an application to dinosaur gait optimization.
Yoshiyuki MatsumuraKiyotaka SugiyamaToshiyuki YasudaKazuhiro OhkuraPublished in: SII (2013)
Keyphrases
- particle swarm
- cloud computing
- hybrid algorithm
- hybrid optimization algorithm
- particle swarm optimization
- optimization method
- particle swarm algorithm
- genetic algorithm
- premature convergence
- computing resources
- differential evolution
- simulated annealing
- particle swarm optimization pso
- optimisation problems
- data center
- cloud computing environment
- distributed computing
- optimization algorithm
- data management
- service providers
- pso algorithm
- ant colony optimization
- tabu search
- cloud storage
- particle swarm optimization algorithm
- optimal solution
- imperialist competitive algorithm
- optimization methods
- global optimization
- multi objective
- swarm intelligence
- search capabilities
- evolutionary computation
- cloud services
- fitness function
- metaheuristic
- evolutionary algorithm
- cloud computing platform
- convergence speed
- global search
- inertia weight
- particle swarm optimisation
- artificial neural networks