A Parameterless Penalty Rule-Based Fitness Estimation for Decomposition-Based Many-Objective Optimization Evolutionary Algorithm.
Junhua LiuYuping WangShiwei WeiXiangjuan WuWuning TongPublished in: IEEE Access (2019)
Keyphrases
- evolutionary algorithm
- multi objective
- fitness function
- optimization problems
- multiple objectives
- evolutionary computation
- nsga ii
- differential evolution
- population diversity
- multi objective optimization
- simulated annealing
- genetic operators
- genetic algorithm
- fitness landscape
- expert systems
- genetic programming
- accurate estimation
- evolution process
- function optimization
- decomposition algorithm
- evolutionary process
- mutation operator
- data driven
- rule base
- particle swarm
- rule based systems
- multi objective evolutionary algorithms
- decomposition method
- penalty function
- robust estimation
- crossover operator
- penalty term
- evolutionary search
- quasi periodic
- optimization algorithm
- image decomposition
- decomposition methods
- estimation algorithm
- neural network
- evolution strategy