Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey
Due to the complex environment and variable demands, unmanned surface vessel (USV)
task assignment and path planning have received much attention from academia and …
task assignment and path planning have received much attention from academia and …
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Evolutionary algorithms (EA), a class of stochastic search methods based on the principles
of natural evolution, have received widespread acclaim for their exceptional performance in …
of natural evolution, have received widespread acclaim for their exceptional performance in …
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times
G Zhang, S Yan, X Song, D Zhang, S Guo - Engineering Applications of …, 2024 - Elsevier
Flexible job-shop scheduling is considerably important in the modern intelligent
manufacturing factory. In a real job shop, transportation and setup times account for a large …
manufacturing factory. In a real job shop, transportation and setup times account for a large …
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution
Production and distribution are two essential parts in supply chains. An integration of
production and distribution has received amount of attention from both academia and …
production and distribution has received amount of attention from both academia and …
Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over
the last 20 years, highlighting its success in solving complex optimization problems. We …
the last 20 years, highlighting its success in solving complex optimization problems. We …
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Most studies on distributed assembly permutation flowshop scheduling do not consider
product priorities and factory heterogeneity. This causes delays in critical products and …
product priorities and factory heterogeneity. This causes delays in critical products and …
Scheduling Multiobjective Dynamic Surgery Problems via -Learning-Based Meta-Heuristics
This work addresses multiobjective dynamic surgery scheduling problems with considering
uncertain setup time and processing time. When dealing with them, researchers have to …
uncertain setup time and processing time. When dealing with them, researchers have to …
Solving heterogeneous USV scheduling problems by problem-specific knowledge based meta-heuristics with Q-learning
This study focuses on the scheduling problem of heterogeneous unmanned surface vehicles
(USVs) with obstacle avoidance pretreatment. The goal is to minimize the overall maximum …
(USVs) with obstacle avoidance pretreatment. The goal is to minimize the overall maximum …
Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes
R Hu, YF Huang, X Wu, B Qian, L Wang… - Swarm and Evolutionary …, 2024 - Elsevier
Silicon electrodes are widely used in semiconductor etching machines. The periodic
consumption of silicon electrodes has become an important consumable in wafer …
consumption of silicon electrodes has become an important consumable in wafer …
Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling
In this study, we investigate the multi-objective surgery scheduling and rescheduling
problems with considering medical staff dissatisfaction and fuzzy surgery time …
problems with considering medical staff dissatisfaction and fuzzy surgery time …