A comparative review on mobile robot path planning: Classical or meta-heuristic methods?
The involvement of Meta-heuristic algorithms in robot motion planning has attracted the
attention of researchers in the robotics community due to the simplicity of the approaches …
attention of researchers in the robotics community due to the simplicity of the approaches …
A review on path planning and obstacle avoidance algorithms for autonomous mobile robots
Mobile robots have been widely used in various sectors in the last decade. A mobile robot
could autonomously navigate in any environment, both static and dynamic. As a result …
could autonomously navigate in any environment, both static and dynamic. As a result …
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 …
considered in this paper, which is proved to be NP-hard. To minimize the makespan for this …
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 …
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 …
mating operational one. Focusing on the real settings, this article considers an extended …
An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing
X Li, X Guo, H Tang, R Wu, J Liu - Computers & Industrial Engineering, 2023 - Elsevier
To solve the hybrid flow-shop scheduling problem in sand casting enterprises with
multivariate and multistage production characteristics, an improved cuckoo algorithm was …
multivariate and multistage production characteristics, an improved cuckoo algorithm was …
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics
Detecting groups within a set of interconnected nodes is a widely addressed problem that
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
A reinforcement learning based multi-method approach for stochastic resource constrained project scheduling problems
Abstract The Resource-Constrained Project Scheduling Problem (RCPSP) has been widely
accepted as a challenging research topic due to its NP-hard nature. Because of the dynamic …
accepted as a challenging research topic due to its NP-hard nature. Because of the dynamic …
Learning-based genetic algorithm to schedule an extended flexible job shop
ZC Cao, CR Lin, MC Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This work considers an extended flexible job-shop scheduling problem from a
semiconductor manufacturing environment. To find its high-quality solution in a reasonable …
semiconductor manufacturing environment. To find its high-quality solution in a reasonable …
Autoencoder-embedded iterated local search for energy-minimized task schedules of human–cyber–physical systems
CR Lin, ZC Cao, MC Zhou - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
This work considers a task scheduling problem with deadline constraints in human-cyber-
physical systems. To find its energy-efficient schedules in a short time, an autoencoder …
physical systems. To find its energy-efficient schedules in a short time, an autoencoder …