A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems
This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
A comprehensive survey on NSGA-II for multi-objective optimization and applications
H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …
II) has attracted extensive research interests, and it is still one of the hottest research …
A multi-objective scheduling method for distributed and flexible job shop based on hybrid genetic algorithm and tabu search considering operation outsourcing and …
W Xu, Y Hu, W Luo, L Wang, R Wu - Computers & Industrial Engineering, 2021 - Elsevier
The general distributed flexible job shop scheduling problem (DFJSP) involves three sub-
problems:(1) operation-sequencing,(2) job-to-cell assignment, and (3) operation-to-machine …
problems:(1) operation-sequencing,(2) job-to-cell assignment, and (3) operation-to-machine …
[HTML][HTML] A systematic review of energy management strategies for resource allocation in the cloud: Clustering, optimization and machine learning
S Jayaprakash, MD Nagarajan, RP Prado… - Energies, 2021 - mdpi.com
Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …
Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems
Cloud computing is undeniably becoming the main computing and storage platform for
today's major workloads. From Internet of things and Industry 4.0 workloads to big data …
today's major workloads. From Internet of things and Industry 4.0 workloads to big data …
Multi-objective task and workflow scheduling approaches in cloud computing: a comprehensive review
Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …
management and reducing power consumption in cloud computing data centers (DCs) …
Biobjective task scheduling for distributed green data centers
The industry of data centers is the fifth largest energy consumer in the world. Distributed
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …
A multi-objective quantum-inspired genetic algorithm for workflow healthcare application scheduling with hard and soft deadline constraints in hybrid clouds
Recently, the use of quantum cloud computing for different applications has been
increasing. For instance, weather forecasting, financial modeling, healthcare, and …
increasing. For instance, weather forecasting, financial modeling, healthcare, and …
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments
Big data task scheduling in cloud computing environments has gained considerable
attention in the past few years, due to the exponential growth in the number of businesses …
attention in the past few years, due to the exponential growth in the number of businesses …
An artificial neural network based approach for energy efficient task scheduling in cloud data centers
M Sharma, R Garg - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Energy efficiency is considered as a crucial objective in cloud data centers as it reduces cost
and meets the standard set in green computing. Task scheduling an important problem …
and meets the standard set in green computing. Task scheduling an important problem …