How to evaluate solutions in Pareto-based search-based software engineering: A critical review and methodological guidance
With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
A survey of many-objective optimisation in search-based software engineering
Search-based software engineering (SBSE) is changing the way traditional software
engineering (SE) activities are carried out by reformulating them as optimisation problems …
engineering (SE) activities are carried out by reformulating them as optimisation problems …
Digital-twin-based job shop scheduling toward smart manufacturing
Y Fang, C Peng, P Lou, Z Zhou, J Hu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Job shop scheduling always plays an important role in the manufacturing process and is
one of the decisive factors influencing manufacturing efficiency. In the actual process of …
one of the decisive factors influencing manufacturing efficiency. In the actual process of …
Digital twin-based job shop anomaly detection and dynamic scheduling
Scheduling scheme is one of the critical factors affecting the production efficiency. In the
actual production, anomalies will lead to scheduling deviation and influence scheme …
actual production, anomalies will lead to scheduling deviation and influence scheme …
Dynamic multiobjectives optimization with a changing number of objectives
Existing studies on dynamic multiobjective optimization (DMO) focus on problems with time-
dependent objective functions, while the ones with a changing number of objectives have …
dependent objective functions, while the ones with a changing number of objectives have …
A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling
Software project scheduling is the problem of allocating employees to tasks in a software
project. Due to the large scale of current software projects, many studies have investigated …
project. Due to the large scale of current software projects, many studies have investigated …
Cooperative coevolution with an improved resource allocation for large-scale multi-objective software project scheduling
X Shen, Y Guo, A Li - Applied Soft Computing, 2020 - Elsevier
The existing literature of search-based software project scheduling merely studied to
schedule a small to medium-scale project in static scenarios, while little work has …
schedule a small to medium-scale project in static scenarios, while little work has …
Investigation of benchmark dataset for many-objective multi-skill resource constrained project scheduling problem
PB Myszkowski, M Laszczyk - Applied Soft Computing, 2022 - Elsevier
The paper presents a redefinition of Multi-Skill Resource-Constrained Project Scheduling
Problem (MS-RCPSP) as a many-objective optimization problem. In effect, it brings the …
Problem (MS-RCPSP) as a many-objective optimization problem. In effect, it brings the …
A two-stage approach with softmax scoring mechanism for a multi-project scheduling problem sharing multi-skilled staff
Y Yu, Z Xu, D Liu, S Zhao - Expert Systems with Applications, 2022 - Elsevier
This paper studies a multi-project scheduling problem sharing multi-skilled staff (MSMPSP).
In a distributed decision-making environment, each project is independently scheduled by …
In a distributed decision-making environment, each project is independently scheduled by …
A two‐layer approach for solving robust decentralized multiproject scheduling problem with multi‐skilled staff
W You, Z Xu, Y Yu, S Zhao - International Transactions in …, 2024 - Wiley Online Library
Uncertain activity durations and multi‐skilled staff allocation are two practical factors that are
difficult to cope with in real project management. This paper studies a new decentralized …
difficult to cope with in real project management. This paper studies a new decentralized …