Bi-objective optimization of integrating configuration generation and scheduling for reconfigurable flow lines using NSGA-II
J Dou, J Li, C Su - The International Journal of Advanced Manufacturing …, 2016 - Springer
Reconfigurable manufacturing system (RMS) is a new manufacturing system paradigm
suited to the era of mass customization. A RMS is able to change its configuration by …
suited to the era of mass customization. A RMS is able to change its configuration by …
Ant colony system with a novel Non-DaemonActions procedure for multiprocessor task scheduling in multistage hybrid flow shop
M Kurdi - Swarm and evolutionary computation, 2019 - Elsevier
This paper presents an ant colony system with a novel Non-DaemonActions procedure
(ACSNDP) algorithm for multiprocessor task scheduling in multistage hybrid flow shop. A …
(ACSNDP) algorithm for multiprocessor task scheduling in multistage hybrid flow shop. A …
[PDF][PDF] 混合离散蝙蝠算法求解多目标柔性作业车间调度*
徐华, 张庭 - 机械工程学报, 2016 - qikan.cmes.org
针对以最大完工时间, 生产成本和生产质量为目标的柔性作业车间调度问题,
在研究和分析蝙蝠算法的基础上, 提出一种混合离散蝙蝠算法. 为了提高求解多目标柔性作业 …
在研究和分析蝙蝠算法的基础上, 提出一种混合离散蝙蝠算法. 为了提高求解多目标柔性作业 …
Fluctuation prediction of stock market index by adaptive evolutionary higher order neural networks
The stock market is complex and dynamic in nature, and has been a subject of research for
modelling its random fluctuations. Higher order neural network (HONN) has the ability to …
modelling its random fluctuations. Higher order neural network (HONN) has the ability to …
[PDF][PDF] Hybrid discrete bat algorithm for solving the multi-objective flexible job shop scheduling problem
徐华, 张庭 - Journal of mechanical engineering, 2016 - qikan.cmes.org
: Aiming at the flexible job shop scheduling problem with the goal of the maximum
completion time, production cost and production quality, a hybrid discrete bat algorithm is …
completion time, production cost and production quality, a hybrid discrete bat algorithm is …
[PDF][PDF] Simulation of multivariate scheduling optimization for open production line based on improved genetic algorithm
HY Li, C Gui, K Xiao - International Journal of Simulation Modelling, 2018 - ijsimm.com
This paper attempts to overcome the defects of bottleneck recognition and scheduling
optimization in open production line. For this purpose, the author analysed the impact …
optimization in open production line. For this purpose, the author analysed the impact …
Adaptive hybrid higher order neural networks for prediction of stock market behavior
This chapter presents two higher order neural networks (HONN) for efficient prediction of
stock market behavior. The models include Pi-Sigma, and Sigma-Pi higher order neural …
stock market behavior. The models include Pi-Sigma, and Sigma-Pi higher order neural …
Discrete particle swarm optimization for flexible flow line scheduling
P Amiri - 2015 - search.proquest.com
Previous research on scheduling flexible flow lines (FFL) to minimize makespan has utilized
approaches such as branch and bound, integer programming, or heuristics. Metaheuristic …
approaches such as branch and bound, integer programming, or heuristics. Metaheuristic …