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 …

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 …

[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 …

Fluctuation prediction of stock market index by adaptive evolutionary higher order neural networks

SC Nayak, BB Misra… - International Journal of …, 2016 - inderscienceonline.com
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 …

[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 …

[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 …

Adaptive hybrid higher order neural networks for prediction of stock market behavior

SC Nayak, BB Misra, HS Behera - Applied Artificial Higher Order …, 2016 - igi-global.com
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 …

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 …