A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms.
Rafael Stubs ParpinelliGuilherme PlichoskiRenan Samuel da SilvaPedro Henrique NarlochPublished in: Int. J. Bio Inspired Comput. (2019)
Keyphrases
- evolutionary computation
- swarm intelligence
- evolutionary algorithm
- computational intelligence
- genetic programming
- bio inspired
- evolutionary strategy
- nature inspired algorithms
- test functions
- fitness function
- artificial life
- artificial bee colony
- genetic algorithm
- ant colony optimization
- machine learning and data mining
- ant colonies
- continuous domains
- theoretical and empirical study
- nature inspired
- multiobjective optimization
- fuzzy systems
- particle swarm optimization pso
- swarm optimization
- honey bee
- neural network
- particle swarm optimization
- particle swarm
- optimization problems
- artificial intelligence
- social behavior
- evolutionary computing
- multi objective
- social media
- collective behavior
- real time
- social insects
- swarm robotics
- state space
- optimisation problems
- metaheuristic
- differential evolution
- combinatorial optimization
- parameter settings
- control parameters