A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems.
Chaoli SunJinliang DingJianchao ZengYaochu JinPublished in: Memetic Comput. (2018)
Keyphrases
- optimization problems
- evolutionary algorithm
- evolutionary process
- fitness function
- genetic algorithm
- multi objective
- metaheuristic
- small scale
- candidate solutions
- real life
- genetic programming
- evolutionary computation
- particle swarm optimization
- particle swarm
- query optimization
- optimization algorithm
- computationally expensive
- cost function
- swarm intelligence
- approximation error
- differential evolution
- combinatorial optimization
- cooperative
- error prone
- approximation algorithms
- traveling salesman problem
- computationally intensive
- mutation operator
- data intensive
- genetic operators
- relative error
- real world
- simulated annealing
- optimization criteria
- multi swarm