Scheduling semiconductor testing facility by using cuckoo search algorithm with reinforcement learning and surrogate modeling

ZC Cao, CR Lin, MC Zhou… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A semiconductor final testing scheduling problem with multiresource constraints is
considered in this paper, which is proved to be NP-hard. To minimize the makespan for this …

Semiconductor final testing scheduling using Q-learning based hyper-heuristic

J Lin, YY Li, HB Song - Expert Systems with Applications, 2022 - Elsevier
Semiconductor final testing scheduling problem (SFTSP) has extensively been studied in
advanced manufacturing and intelligent scheduling fields. This paper presents a Q-learning …

A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem

X Zheng, L Wang, S Wang - Knowledge-Based Systems, 2014 - Elsevier
In this paper, a novel fruit fly optimization algorithm (nFOA) is proposed to solve the
semiconductor final testing scheduling problem (SFTSP). First, a new encoding scheme is …

An effective invasive weed optimization algorithm for scheduling semiconductor final testing problem

HY Sang, PY Duan, JQ Li - Swarm and Evolutionary Computation, 2018 - Elsevier
In this paper, we address a semiconductor final testing problem from the semiconductor
manufacturing process. We aim to determine both the assignment of machines and the …

Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem

F Alkhateeb, BH Abed-alguni, MH Al-rousan - The Journal of …, 2022 - Springer
The job shop scheduling problem (JSSP) is a popular NP-hard scheduling problem that
simulates the scheduling problems of different real-world applications in fields such as …

Discrete island-based cuckoo search with highly disruptive polynomial mutation and opposition-based learning strategy for scheduling of workflow applications in …

NA Alawad, BH Abed-alguni - Arabian Journal for Science and …, 2021 - Springer
The optimization-based scheduling algorithms used for scheduling workflows in cloud
computing environments may easily get trapped in local optima, especially in the beginning …

A knowledge-based cuckoo search algorithm to schedule a flexible job shop with sequencing flexibility

ZC Cao, CR Lin, MC Zhou - IEEE Transactions on Automation …, 2019 - ieeexplore.ieee.org
Scheduling of complex manufacturing systems entails complicated constraints such as the
mating operational one. Focusing on the real settings, this article considers an extended …

Scalable scheduling of semiconductor packaging facilities using deep reinforcement learning

IB Park, J Park - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
Reinforcement learning (RL) has emerged as a promising approach for scheduling
semiconductor operations. Yet, it is still challenging to solve large-scale scheduling …

[HTML][HTML] Nature inspired chaotic squirrel search algorithm (CSSA) for multi objective task scheduling in an IAAS cloud computing atmosphere

MS Sanaj, PMJ Prathap - … Science and Technology, an International Journal, 2020 - Elsevier
Task scheduling in the cloud platform seems to be the most significant issue to guarantee
that cloud connectivity adequately and efficiently meets the requirements of customers …

Adaptive dispatching rule for semiconductor wafer fabrication facility

L Li, Z Sun, MC Zhou, F Qiao - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Uncertainty in semiconductor fabrication facilities (fabs) requires scheduling methods to
attain quick real-time responses. They should be well tuned to track the changes of a …