An improved gazelle optimization algorithm using dynamic opposition-based learning and chaotic mapping combination for solving optimization problems.
Atiyeh AbdollahpourAlireza RouhiEinollah PiraPublished in: J. Supercomput. (2024)
Keyphrases
- optimization algorithm
- solving optimization problems
- differential evolution
- opposition based learning
- multi objective
- optimization method
- particle swarm optimization pso
- multi objective genetic algorithm
- optimization problems
- evolutionary algorithm
- initial population
- nsga ii
- multi objective optimization
- control parameters
- particle swarm optimisation