Split-and-Merge-Based Genetic Algorithm (SM-GA) for LEGO Brick Sculpture Optimization.
Seung-Mok LeeJae Woo KimHyun MyungPublished in: IEEE Access (2018)
Keyphrases
- genetic algorithm
- genetic algorithm ga
- real coded
- optimization method
- immune genetic algorithm
- parameter optimization
- fitness function
- evolutionary algorithm
- global search
- penalty function
- genetic operators
- multi population
- function optimization
- evolutionary strategy
- neural network
- evolution strategy
- genetic algorithm is employed
- multi objective
- optimization algorithm
- optimization problems
- hybrid algorithm
- evolutionary computation
- metaheuristic
- crossover operator
- artificial neural networks
- optimization process
- genetic programming
- global optimization
- particle swarm optimization
- hybrid ga
- mutation operator
- initial population
- constrained optimization
- particle swarm optimization pso
- fuzzy logic
- genetic search
- faster convergence rate
- genetic algorithm is applied
- evolutionary computing
- evolutionary search
- crossover and mutation
- hybrid genetic algorithm
- population size
- particle swarm
- differential evolution
- harmony search
- random search
- estimation of distribution algorithms
- crossover and mutation operators
- fitness values
- genetic algorithm to solve
- route optimization
- job shop scheduling problem
- objective function