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 …

A self-adaptive collaborative differential evolution algorithm for solving energy resource management problems in smart grids

H Qin, W Bai, Y Xiang, F Liu, Y Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

An improved multi-objective imperialist competitive algorithm for surgical case scheduling problem with switching and preparation times

H Yu, J Li, X Chen, W Niu, H Sang - Cluster Computing, 2022 - Springer
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 …

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 …

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 …

Bi-objective optimization using an improved NSGA-II for energy-efficient scheduling of a distributed assembly blocking flowshop

W Niu, J Li, H Jin, R Qi, H Sang - Engineering Optimization, 2023 - Taylor & Francis
In this study, an Energy-Efficient Distributed Assembly Blocking FlowShoP (EEDABFSP) 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 …

Multi-objective path planning for mobile robot with an improved artificial bee colony algorithm.

Z Yu, P Duan, L Meng, Y Han, F Ye - Mathematical Biosciences and …, 2022 - europepmc.org
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 …