Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Particle swarm optimization (PSO) is a stochastic, population-based optimization method, which has been applied successfully to a wide range of problems. Hover, PSO is computationally expensive and suffers from premature convergence. , opposition-based learning is used to improve the performance of PSO. The performance of the proposed approaches is investigated and compared with PSO when applied to eight benchmark functions. The experiments conducted show that opposition-based learning improves the performance of PSO.
['Mahamed G. H. Omran', 'Salah Al-Sharhan']
I am writing a research paper on a idea Using opposition-based learning to improve the performance of particle swarm optimization
[{"from": "human", "value": "I am writing a research paper on a idea Using opposition-based learning to improve the performance of particle swarm optimization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Particle swarm optimization (PSO) is a stochastic, population-based optimization method, which has been applied successfully to a wide range of problems. Hover, PSO is computationally expensive and suffers from premature convergence. , opposition-based learning is used to improve the performance of PSO. The performance of the proposed approaches is investigated and compared with PSO when applied to eight benchmark functions. The experiments conducted show that opposition-based learning improves the performance of PSO."}]