Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level analyses.
Kanak KalitaTanmoy MukhopadhyayPartha DeySalil HaldarPublished in: Neural Comput. Appl. (2020)
Keyphrases
- genetic programming
- multi objective
- evolutionary algorithm
- optimization algorithm
- multiscale
- grammar guided genetic programming
- optimization problems
- multiple objectives
- evolutionary optimization
- optimum design
- fitness function
- multi objective optimization
- conflicting objectives
- evolutionary computation
- estimation of distribution algorithms
- multiobjective optimization
- symbolic regression
- genetic algorithm
- particle swarm
- optimization method
- global optimization
- engineering design problems
- evolution strategy
- multi objective optimization problems
- bi objective
- dynamic optimization
- multi objective evolutionary algorithms
- keypoints
- gene expression programming
- computer vision
- particle swarm optimization
- fitness evaluation
- differential evolution
- pareto optimal
- neural network
- optimization process
- image representation
- financial forecasting
- dynamic environments
- constrained optimization
- multi swarm
- multi objective evolutionary