A survey on online judge systems and their applications
Online judges are systems designed for the reliable evaluation of algorithm source code
submitted by users, which is next compiled and tested in a homogeneous environment …
submitted by users, which is next compiled and tested in a homogeneous environment …
A review of soft computing applications in supply chain management
It is broadly recognised by global companies that supply chain management is one of the
major core competencies for an organisation to compete in the marketplace. Organisational …
major core competencies for an organisation to compete in the marketplace. Organisational …
A logistics model for emergency supply of critical items in the aftermath of a disaster
This paper proposes a logistics model for delivery of prioritized items in disaster relief
operations. It considers multi-items, multi-vehicles, multi-periods, soft time windows, and a …
operations. It considers multi-items, multi-vehicles, multi-periods, soft time windows, and a …
Golden-Sine dynamic marine predator algorithm for addressing engineering design optimization
M Han, Z Du, H Zhu, Y Li, Q Yuan, H Zhu - Expert Systems with Applications, 2022 - Elsevier
In engineering design optimization problems, the optimal solution can improve the design
quality of complex engineering system and reduce a lot of cost consumption, so it is of great …
quality of complex engineering system and reduce a lot of cost consumption, so it is of great …
Efficiency, cost and life cycle CO2 optimization of fuel cell hybrid and plug-in hybrid urban buses
Fuel cell powered hybrid electric vehicles (FC-HEV) and plug-in hybrid electric vehicles (FC-
PHEV) are being addressed by the automotive industry as improved and more sustainable …
PHEV) are being addressed by the automotive industry as improved and more sustainable …
A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems
J Li, Q Pan, K Mao - Engineering Applications of Artificial Intelligence, 2015 - Elsevier
In this study, we proposed a discrete teaching-learning-based optimisation (DTLBO) for
solving the flowshop rescheduling problem. Five types of disruption events, namely machine …
solving the flowshop rescheduling problem. Five types of disruption events, namely machine …
Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach
S Zhang, TN Wong - International Journal of Production Research, 2017 - Taylor & Francis
In real-world manufacturing, disruptions are often encountered during the execution of a
predetermined schedule, leading to the degradation of its optimality and feasibility. This …
predetermined schedule, leading to the degradation of its optimality and feasibility. This …
[HTML][HTML] Two-sided assembly lines balancing with assignment restrictions
HD Purnomo, HM Wee, H Rau - Mathematical and Computer Modelling, 2013 - Elsevier
Two-sided assembly line is a set of sequential workstations where task operations can be
performed in two sides of the line. The line is important for large-sized products, such as …
performed in two sides of the line. The line is important for large-sized products, such as …
Two cooperative ant colonies for feature selection using fuzzy models
The available set of potential features in real-world databases is sometimes very large, and
it can be necessary to find a small subset for classification purposes. One of the most …
it can be necessary to find a small subset for classification purposes. One of the most …
Optimisation of storage allocation in order picking operations through a genetic algorithm
This paper explores the use of a genetic algorithm (GA) to optimise item allocation in a
warehouse, with the ultimate purpose of reducing the travel time of pickers, thus streamlining …
warehouse, with the ultimate purpose of reducing the travel time of pickers, thus streamlining …