A brief review of portfolio optimization techniques
A Gunjan, S Bhattacharyya - Artificial Intelligence Review, 2023 - Springer
Portfolio optimization has always been a challenging proposition in finance and
management. Portfolio optimization facilitates in selection of portfolios in a volatile market …
management. Portfolio optimization facilitates in selection of portfolios in a volatile market …
[HTML][HTML] 基于模拟退火机制的自适应粘性粒子群算法
孙一凡， 张纪会 - 控制与决策, 2023 - kzyjc.alljournals.cn
为了进一步提升粒子群算法在离散优化问题中的性能, 针对粘性二进制粒子群算法缺乏全局搜索
能力, 容易陷入局部最优和收敛速度慢的缺点, 提出一种新的自适应参数策略和粒子散度指标 …
能力, 容易陷入局部最优和收敛速度慢的缺点, 提出一种新的自适应参数策略和粒子散度指标 …
Short‐term passenger flow prediction for rail transit based on improved particle swarm optimization algorithm
Y Lai, Y Wang - IET Intelligent Transport Systems, 2023 - Wiley Online Library
The subjectivity of selecting training parameters is an important factor affecting the accuracy
of short‐term passenger flow prediction of rail transit by long short‐term memory (LSTM) …
of short‐term passenger flow prediction of rail transit by long short‐term memory (LSTM) …
Mixed-Variable Tuning with Particle Swarm Optimization
B McLaughlin, B Marchand - OCEANS 2022, Hampton Roads, 2022 - ieeexplore.ieee.org
This work builds an implementation of particle swarm optimization that can be used to tune
hyperparameters, such as those required to conFigure detection and classification …
hyperparameters, such as those required to conFigure detection and classification …