[HTML][HTML] A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem
This paper studies and analyses the multi-skilled resource-constrained project scheduling
problem (MSRCPSP). We present a new classification scheme based on an existing …
problem (MSRCPSP). We present a new classification scheme based on an existing …
A state of the art review of intelligent scheduling
Intelligent scheduling covers various tools and techniques for successfully and efficiently
solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …
solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …
Adaptive multimodal continuous ant colony optimization
Seeking multiple optima simultaneously, which multimodal optimization aims at, has
attracted increasing attention but remains challenging. Taking advantage of ant colony …
attracted increasing attention but remains challenging. Taking advantage of ant colony …
Deep neural network based hybrid approach for software defect prediction using software metrics
C Manjula, L Florence - Cluster Computing, 2019 - Springer
In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …
such as data mining techniques, machine learning techniques. Still early prediction of …
A feature selection method based on modified binary coded ant colony optimization algorithm
Y Wan, M Wang, Z Ye, X Lai - Applied Soft Computing, 2016 - Elsevier
Feature selection is a significant task for data mining and pattern recognition. It aims to
select the optimal feature subset with the minimum redundancy and the maximum …
select the optimal feature subset with the minimum redundancy and the maximum …
Preventive maintenance scheduling of a multi-skilled human resource-constrained project's portfolio
Companies often struggle with the problem of appropriately assigning multi-skilled
employees and maintaining the required skill levels while performing a changing project's …
employees and maintaining the required skill levels while performing a changing project's …
Lifting path planning of mobile cranes based on an improved RRT algorithm
Lifting operations of mobile cranes are one of the commonly-seen and most important
activities for prefabrication housing production (PHP) on sites. However, relevant operations …
activities for prefabrication housing production (PHP) on sites. However, relevant operations …
Multi-project scheduling with multi-skilled workforce assignment considering uncertainty and learning effect for large-scale equipment manufacturer
JC Chen, YY Chen, TL Chen, YH Lin - Computers & Industrial Engineering, 2022 - Elsevier
This study addresses a resource-constrained multi-project scheduling and multi-skilled
workforce assignment problem for the large-scale equipment manufacturing industry. The …
workforce assignment problem for the large-scale equipment manufacturing industry. The …
Bio-inspired adaptive formation tracking control for swarm systems with application to UAV swarm systems
Y **e, L Han, X Dong, Q Li, Z Ren - Neurocomputing, 2021 - Elsevier
Adaptive formation tracking problems for swarm systems with multiple leaders and switching
topologies are studied in this paper. It is required that the followers form time-varying …
topologies are studied in this paper. It is required that the followers form time-varying …
Deep reinforcement learning for solving resource constrained project scheduling problems with resource disruptions
H Cai, Y Bian, L Liu - Robotics and Computer-Integrated Manufacturing, 2024 - Elsevier
The resource-constrained project scheduling problem (RCPSP) is encountered in many
fields, including manufacturing, supply chain, and construction. Nowadays, with the rapidly …
fields, including manufacturing, supply chain, and construction. Nowadays, with the rapidly …