Evolutionary algorithms and nature-inspired optimization algorithms are widely used in solving nonlinear optimization problems. Considering aD-dimensional space, this paper introduces a new random search algorithm called vector-based swarm optimization (VBSO). In this method, vectors with appropriate ...
Study the influence of various topology structures on PSO algorithm Study the multi-objective optimization with the PSO algorithm Apply the PSO algorithm to various engineering fields meta-heuristic bionic optimization algorithm: based on a heuristic method that does not rely on the type of the proble...
A Cuckoo Search Optimization (CSO) based on the MPPT algorithm has been employed to afford the best fitness function (FF) to vary the duty cycles. The simulation results have also been presented for supporting the proposed concept. Besides, this study has not been considered for the partial ...
2.1. Swallow Swarm Optimization (SSO) The SSO algorithm inspired by the collective movement of swallows and the interaction between flock members has attained good results. This algorithm has presented a metaheuristic method based on the special properties of swallows, including fast flight, hunting sk...
The challenges and future development of energy storage systems are briefly described, and the research results of energy storage system optimization methods are summarized. This paper summarizes the application of swarm intelligence optimization algorithm in photovoltaic energy storage systems, including ...
Particle Swarm Optimization Algorithm Algorithm Outline particleswarm is based on the algorithm described in Kennedy and Eberhart [1], using modifications suggested in Mezura-Montes and Coello Coello [2] and in Pedersen [3]. The particle swarm algorithm begins by creating the initial particles, and...
启发式算法库scikit-opt:包括遗传算法(Genetic Algorithm, GA)、粒子群优化(Particle Swarm Optimization, PSO)、模拟退火算法(Simulated Annealing, SA)、蚁群算法(Ant Colony Algorithm, ACA)、免疫算法(Immune Algorithm, IA)、人工鱼群算法(Artificial Fish Swarm Algorithm, AFSA),旅行商问题(Traveling Salesman Probl...
Quantum behaved particle swarm algorithm is a new intelligent optimization algorithm; the algorithm has less parameters and is easily implemented. In view of the existing quantum behaved particle swa...
Particle swarm optimization PSO is a high-quality, human-based, global-based, and intelligence-based algorithm that finds a solution to the optimization problem52. One of the bio-inspired algorithms, PSO, is straightforward in its search for the best solution in the problem area. It differs fro...
A global optimization method known as Particle Swarm Optimization (PSO) is employed to estimate the unknown heat flux at the inner surface of a crystal tube from the knowledge of temperature measurements obtained at the external surface. Three modifications of the PSO-based algorithm, PSO with ...