Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning.
Benyamin AbdollahzadehNima KhodadadiSaeid BarshandehPavel TrojovskýFarhad Soleimanian GharehchopoghEl-Sayed M. El-KenawyLaith AbualigahSeyedali MirjaliliPublished in: Clust. Comput. (2024)
Keyphrases
- optimization algorithm
- metaheuristic
- machine learning
- harmony search
- multi objective
- simulated annealing
- optimization method
- search space
- tabu search
- ant colony optimization
- scatter search
- combinatorial optimization
- particle swarm optimization
- optimization problems
- differential evolution
- combinatorial optimization problems
- path relinking
- genetic algorithm
- optimal solution
- particle swarm optimization pso
- vehicle routing problem
- evolutionary multi objective
- evolutionary algorithm
- optimization strategy
- iterated local search
- artificial bee colony
- solution space
- nsga ii
- benchmark instances
- set of benchmark instances
- multi objective optimization
- variable neighborhood search
- active learning
- initial solution
- multiobjective optimization
- job shop scheduling problem
- pso algorithm
- nature inspired
- global optima
- computational intelligence
- decision trees