A survey of university course timetabling problem: perspectives, trends and opportunities
The timetabling problem is common to academic institutions such as schools, colleges or
universities. It is a very hard combinatorial optimisation problem which attracts the interest of …
universities. It is a very hard combinatorial optimisation problem which attracts the interest of …
A novel cooperative multi-stage hyper-heuristic for combination optimization problems
F Zhao, S Di, J Cao, J Tang - Complex System Modeling and …, 2021 - ieeexplore.ieee.org
A hyper-heuristic algorithm is a general solution framework that adaptively selects the
optimizer to address complex problems. A classical hyper-heuristic framework consists of …
optimizer to address complex problems. A classical hyper-heuristic framework consists of …
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
ZQ Zhang, FC Wu, B Qian, R Hu, L Wang… - Expert Systems with …, 2023 - Elsevier
With the globalization and sustainable development of the modern manufacturing industry,
distributed manufacturing and scheduling systems that consider environmental effects have …
distributed manufacturing and scheduling systems that consider environmental effects have …
Meta-Black-Box optimization for evolutionary algorithms: Review and perspective
Abstract Black-Box Optimization (BBO) is increasingly vital for addressing complex real-
world optimization challenges, where traditional methods fall short due to their reliance on …
world optimization challenges, where traditional methods fall short due to their reliance on …
A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem
In this paper, an efficient decomposition-based multi-objective genetic programming hyper-
heuristic (MOGP-HH/D) approach is proposed for the multi-skill resource constrained project …
heuristic (MOGP-HH/D) approach is proposed for the multi-skill resource constrained project …
Parallel hyper heuristic algorithm based on reinforcement learning for the corridor allocation problem and parallel row ordering problem
Hyper heuristics is a relatively new optimisation algorithm. Numerous studies have reported
that hyper heuristics are well applied in combinatorial optimisation problems. As a classic …
that hyper heuristics are well applied in combinatorial optimisation problems. As a classic …
Q-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem
ZQ Zhang, B Qian, R Hu, JB Yang - Applied Soft Computing, 2023 - Elsevier
Distributed shop scheduling problems (DSSPs) have attracted increasing interest in recent
years due to the technical trends of smart manufacturing and Industry 4.0. The distributed …
years due to the technical trends of smart manufacturing and Industry 4.0. The distributed …
Multicriteria semi-supervised hyperspectral band selection based on evolutionary multitask optimization
Band selection is a direct and effective method to reduce the spectral dimension, which is
one of popular topics in hyperspectral remote sensing. Compared with unsupervised band …
one of popular topics in hyperspectral remote sensing. Compared with unsupervised band …
[HTML][HTML] Optimizing additive manufacturing path pattern for Ti-6Al-4V thin rods using a combinatorial radial basis function surrogate-assisted genetic algorithm
Path pattern is one of the most significant parameters in the additive manufacturing (AM)
process because it influences the specimen's final shape and residual stress distribution …
process because it influences the specimen's final shape and residual stress distribution …
Radio resource allocation in a 6G D-OMA network with imperfect SIC: A framework aided by a bi-objective hyper-heuristic
In the sixth generation (6G) of mobile communication networks, radio resource allocation
management (RRAM) systems must offer high levels of customization and sustainability in …
management (RRAM) systems must offer high levels of customization and sustainability in …