Polar-Net: Green fruit instance segmentation in complex orchard environment
W Jia, J Liu, Y Lu, Q Liu, T Zhang, X Dong - Frontiers in Plant Science, 2022 - frontiersin.org
High-quality orchard picking has become a new trend, and achieving the picking of
homogeneous fruit is a huge challenge for picking robots. Based on the premise of …
homogeneous fruit is a huge challenge for picking robots. Based on the premise of …
A self-adaptive collaborative differential evolution algorithm for solving energy resource management problems in smart grids
Handling energy resource management (ERM) in today's energy systems is complex and
challenging due to uncertainties arising from the high penetration of distributed energy …
challenging due to uncertainties arising from the high penetration of distributed energy …
A knowledge-driven multiobjective algorithm for distributed hybrid flowshop with group and carryover setup in glass manufacturing systems
YD Geng, JQ Li - Computers & Industrial Engineering, 2023 - Elsevier
The distributed hybrid flow shop problem (DHFSP) exists widely in real workshop production
processes. Its process optimization has important academic significance and application …
processes. Its process optimization has important academic significance and application …
The integrated rescheduling problem of berth allocation and quay crane assignment with uncertainty
H Zheng, Z Wang, H Liu - Processes, 2023 - mdpi.com
The baseline plan of terminals will be impacted to a certain extent after being affected by
uncertain events, such as vessel delay and unscheduled vessel arrival, resulting in …
uncertain events, such as vessel delay and unscheduled vessel arrival, resulting in …
An improved multi-objective imperialist competitive algorithm for surgical case scheduling problem with switching and preparation times
Surgical case scheduling is a key issue in the field of medician, which is a challenging work
because of the difficulty in assigning resources to patients. This study regards the surgical …
because of the difficulty in assigning resources to patients. This study regards the surgical …
Application of artificial intelligence to the development of playing ability in the valorant game
A Fernanda, ARF Geovanni… - IAIC Transactions on …, 2022 - aptikom-journal.id
From children to adults, everyone enjoys playing online games as a form of entertainment.
Online games have a more popular market because they can meet other players worldwide …
Online games have a more popular market because they can meet other players worldwide …
The Problem of Machine Part Operations Optimal Scheduling in the Production Industry Based on a Customer's Order
P Mitić, S Petrović Savić, A Djordjevic, M Erić, E Sukić… - Applied Sciences, 2023 - mdpi.com
This research focuses on small-and medium-sized businesses that provide machining or
other process services but do not produce their own products. Their daily manufacturing …
other process services but do not produce their own products. Their daily manufacturing …
Bi-objective optimization using an improved NSGA-II for energy-efficient scheduling of a distributed assembly blocking flowshop
In this study, an Energy-Efficient Distributed Assembly Blocking FlowShoP (EEDABFSP) is
considered. An improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is …
considered. An improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is …
Dynamic operation optimization based on improved dynamic multi-objective dragonfly algorithm in continuous annealing process.
H Tian, C Tian, C Yuan, K Li - Journal of Industrial & …, 2023 - search.ebscohost.com
The continuous annealing production process is the strip iron heat treatment process.
Considering the numerous disturbance parameters and frequent environmental changes in …
Considering the numerous disturbance parameters and frequent environmental changes in …
Multi-objective path planning for mobile robot with an improved artificial bee colony algorithm.
Effective path planning (PP) is the basis of autonomous navigation for mobile robots. Since
the PP is an NP-hard problem, intelligent optimization algorithms have become a popular …
the PP is an NP-hard problem, intelligent optimization algorithms have become a popular …