scholarly journals Multi-objective drone path planning for search and rescue with quality-of-service requirements

2020 ◽  
Vol 44 (7) ◽  
pp. 1183-1198
Author(s):  
Samira Hayat ◽  
Evşen Yanmaz ◽  
Christian Bettstetter ◽  
Timothy X. Brown
Keyword(s):  
Quality Of Service ◽  
Path Planning ◽  
Search And Rescue ◽  
Multi Objective

Manufacturing service order allocation in the context of social manufacturing based on Stackelberg game

2018 ◽  
Vol 233 (8) ◽  
pp. 1890-1901
Author(s):  
Wei Guo ◽  
Pingyu Jiang
Keyword(s):  
Quality Of Service ◽  
Nash Equilibrium ◽  
Manufacturing Industry ◽  
Stackelberg Game ◽  
Game Model ◽  
Service Cost ◽  
Order Allocation ◽  
Multi Objective ◽  
Bird Swarm Algorithm

For adapting the socialization, individuation and servitization in manufacturing industry, a new manufacturing paradigm called social manufacturing has received a lot of attention. Social manufacturing can be seen as a network that enterprises with socialized resources self-organized into communities that provide personalized machining and service capabilities to customers. Since a community of social manufacturing has multiple enterprises and emphasizes on the importance of service, manufacturing service order allocation must be studied from the new perspective considering objectives on service cost and quality of service. The manufacturing service order allocation can be seen as a one-to-many game model with multi-objective. In this article, a Stackelberg game model is proposed to tackle the manufacturing service order allocation problem with considering the payoffs on cost and quality of service. Since this Stackelberg game can be mapped to a multi-objective bi-level programming, a modified multi-objective hierarchical Bird Swarm Algorithm is used to find the Nash equilibrium of the game. Finally, a case from a professional printing firm is analyzed to validate the proposed methodology and model. The objective of this research is to find the Nash equilibrium on the manufacturing service order allocation and provide strategies guidance for customer and small- and medium-sized enterprises with optimal service cost and lead time. According to the game process and Nash equilibrium, some rules are revealed, and they are useful for guiding practical production.

Optimizing security and quality of service in a Real-time database system using Multi-objective genetic algorithm

2016 ◽  
Vol 64 ◽  
pp. 11-23 ◽  
Author(s):  
Xuancai Zhao ◽  
Qiuzhen Lin ◽  
Jianyong Chen ◽  
Xiaomin Wang ◽  
Jianping Yu ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Quality Of Service ◽  
Real Time ◽  
Database System ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Real Time Database

Makespan–Cost–Reliability-Optimized Workflow Scheduling Using Evolutionary Techniques in Clouds

2019 ◽  
Vol 29 (10) ◽  
pp. 2050167
Author(s):  
Xiumin Zhou ◽  
Gongxuan Zhang ◽  
Tian Wang ◽  
Mingyue Zhang ◽  
Xiji Wang ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
System Reliability ◽  
Scientific Workflow ◽  
Workflow Scheduling ◽  
Workflow Systems ◽  
Multi Objective ◽  
Qos Parameters ◽  
Crossover And Mutation

Most popular scientific workflow systems can now support the deployment of tasks to the cloud. The execution of workflow on cloud has become a multi-objective scheduling in order to meet the needs of users in many aspects. Cost and makespan are considered to be the two most important objects. In addition to these, there are some other Quality-of-Service (QoS) parameters including system reliability, energy consumption and so on. Here, we focus on three objectives: cost, makespan and system reliability. In this paper, we propose a Multi-objective Evolutionary Algorithm on the Cloud (MEAC). In the algorithm, we design some novel schemes including problem-specific encoding and also evolutionary operations, such as crossover and mutation. Simulations on real-world and random workflows are conducted and the results show that MEAC can get on average about 5% higher hypervolume value than some other workflow scheduling algorithms.

MVO-Based 2-D Path Planning Scheme for Providing Quality of Service in UAV Environment

2018 ◽  
Vol 5 (3) ◽  
pp. 1698-1707 ◽  
Author(s):  
Puneet Kumar ◽  
Sahil Garg ◽  
Amritpal Singh ◽  
Shalini Batra ◽  
Neeraj Kumar ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Path Planning ◽  
Planning Scheme
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