Hybrid biogeography-based optimization with enhanced mutation and CMA-ES for global optimization problem.
Fuqing ZhaoSonglin DuYi ZhangWeimin MaHoubin SongPublished in: Serv. Oriented Comput. Appl. (2020)
Keyphrases
- global optimization
- biogeography based optimization
- evolution strategy
- differential evolution
- cma es
- particle swarm optimization
- evolutionary algorithm
- evolutionary programming
- imperialist competitive algorithm
- hybrid algorithm
- global search
- pso algorithm
- mutation operator
- particle swarm optimisation
- search capabilities
- convergence speed
- constrained optimization problems
- differential evolution algorithm
- test functions
- genetic algorithm
- genetic algorithm ga
- optimization algorithm
- genetic operators
- multi objective
- multi objective optimization
- particle swarm optimization pso
- optimization method
- clonal selection algorithm
- swarm intelligence
- particle swarm
- optimization problems
- evolutionary computation
- population diversity
- fitness function
- candidate solutions
- covariance matrix
- premature convergence
- evolutionary process
- simulated annealing
- genetic programming
- metadata
- initial population
- recently developed
- metaheuristic
- search engine