MPI-based parallel synchronous vector evaluated particle swarm optimization for multi-objective design optimization of composite structures.
S. N. OmkarAkshay VenkateshMrunmaya MudigerePublished in: Eng. Appl. Artif. Intell. (2012)
Keyphrases
- multi objective
- particle swarm optimization
- parallel implementation
- evolutionary algorithm
- shared memory
- pso algorithm
- message passing interface
- optimization algorithm
- parallelization strategy
- parallel programming
- multi objective optimization
- parallel computing
- particle swarm optimization algorithm
- particle swarm
- particle swarm optimizer
- differential evolution
- genetic algorithm
- objective function
- multi objective problems
- multiple objectives
- global optimization
- distributed memory
- particle swarm optimization pso
- evolutionary optimization
- multiobjective optimization
- high performance computing
- pareto optimal
- swarm intelligence
- conflicting objectives
- general purpose
- ant colony optimization
- massively parallel
- metaheuristic
- parallel algorithm
- parallel computers
- message passing
- inertia weight
- convergence speed
- computer architecture
- multi objective optimization problems
- graphical models
- trade off
- multi swarm
- search algorithm
- simulated annealing
- processing units
- fitness function
- nsga ii