Metaheuristics for project and construction management–A state-of-the-art review
This paper carries out a detailed review of previous studies that employed metaheuristics to
address problems/issues encountered in the life time of a construction or engineering …
address problems/issues encountered in the life time of a construction or engineering …
A survey on human resource allocation problem and its applications
S Bouajaja, N Dridi - Operational Research, 2017 - Springer
In this paper, we present the existing literature on the human resource allocation problem.
We study the main resolution approaches: exact, heuristic and metaheuristics methods …
We study the main resolution approaches: exact, heuristic and metaheuristics methods …
[HTML][HTML] IoT resource allocation and optimization based on heuristic algorithm
AK Sangaiah, AAR Hosseinabadi, MB Shareh… - Sensors, 2020 - mdpi.com
The Internet of Things (IoT) is a distributed system that connects everything via internet. IoT
infrastructure contains multiple resources and gateways. In such a system, the problem of …
infrastructure contains multiple resources and gateways. In such a system, the problem of …
Resilient food supply chain design: Modelling framework and metaheuristic solution approach
This paper addresses the Resilient Food Supply Chain Design (RFSCD) problem, which is
the problem of designing a food supply chain that is resilient enough to ensure business …
the problem of designing a food supply chain that is resilient enough to ensure business …
A PSO‐based task scheduling algorithm improved using a load‐balancing technique for the cloud computing environment
F Ebadifard, SM Babamir - Concurrency and Computation …, 2018 - Wiley Online Library
Dynamic on‐demand resource provisioning is one of the primary goals of the cloud
computing task scheduling process. Task scheduling is a nondeterministic polynomial time …
computing task scheduling process. Task scheduling is a nondeterministic polynomial time …
Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization
XL Zhang, W Chen, BJ Wang, XF Chen - Neurocomputing, 2015 - Elsevier
The failure of rotating machinery can result in fatal damage and economic loss since rotating
machinery plays an important role in the modern manufacturing industry. The development …
machinery plays an important role in the modern manufacturing industry. The development …
A symbiotic organisms search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems
Many real world engineering optimization problems are multi-modal and associated with
constrains. The multi-modal problems involve presence of local optima and thus …
constrains. The multi-modal problems involve presence of local optima and thus …
Multi-objective optimal scheduling of automated construction equipment using non-dominated sorting genetic algorithm (NSGA-III)
Y Liu, K You, Y Jiang, Z Wu, Z Liu, G Peng… - Automation in …, 2022 - Elsevier
Unstructured and variable construction sites bring challenges that can be addressed with
the adoption of the flexible earthwork scheduling problem (FESP), which requires …
the adoption of the flexible earthwork scheduling problem (FESP), which requires …
[HTML][HTML] A binary Bird Swarm Optimization based load balancing algorithm for cloud computing environment
Task scheduling and load balancing are a concern for service providers in the cloud
computing environment. The problem of scheduling tasks and balancing loads in a cloud is …
computing environment. The problem of scheduling tasks and balancing loads in a cloud is …
Bi-objective ant colony optimization approach to optimize production and maintenance scheduling
This paper presents an algorithm based on Ant Colony Optimization paradigm to solve the
joint production and maintenance scheduling problem. This approach is developed to deal …
joint production and maintenance scheduling problem. This approach is developed to deal …