A modified PSO with a dynamically varying population and its application to the multi-objective optimal design of alloy steels.
Qian ZhangMahdi MahfoufPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- optimal design
- multi objective
- particle swarm optimization
- optimization algorithm
- evolutionary algorithm
- shuffled frog leaping algorithm
- particle swarm
- particle swarm optimization pso
- multi objective optimization
- mutation operator
- pareto optimal set
- multi swarm
- pareto optimal solutions
- multi objective problems
- pso algorithm
- population diversity
- constraint handling
- objective function
- genetic algorithm
- particle swarm optimization algorithm
- nsga ii
- multi objective evolutionary algorithms
- water supply
- estimation of distribution algorithms
- multiobjective optimization
- multiple objectives
- conflicting objectives
- multi objective optimization problems
- particle swarm optimisation
- evolutionary optimization
- particle swarm optimizer
- bi objective
- global optimization
- differential evolution
- engineering design problems
- pareto optimal
- hybrid algorithm
- optimization method
- fitness function
- mechanical properties
- neural network
- genetic programming
- structural design
- search algorithm
- multi objective evolutionary
- optimisation problems
- population size