A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints.
Ahmad MozaffariMahdi EmamiAlireza FathiPublished in: Artif. Intell. Rev. (2019)
Keyphrases
- evolutionary algorithm
- population diversity
- optimization problems
- differential evolution
- evolutionary computation
- multi objective
- fitness function
- multi objective optimization
- particle swarm optimization
- genetic programming
- simulated annealing
- multi objective evolutionary algorithms
- differential evolution algorithm
- convergence speed
- initial conditions
- nonlinear optimization problems
- linear constraints
- constraint satisfaction
- evolution strategy
- mutation operator
- iterative algorithms
- convergence rate
- constraint programming
- chaotic systems
- genetic algorithm ga