A MapReduce‐based modified Grey Wolf optimizer for QoS‐aware big service composition

2019 ◽  
Vol 32 (8) ◽  
Author(s):  
Bhattu Bhaskar ◽  
Chandrashekar Jatoth ◽  
G.R. Gangadharan ◽  
Ugo Fiore
Keyword(s):  
Service Composition ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Big Service

An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing

2020 ◽  
Vol 87 ◽  
pp. 106003 ◽  
Author(s):  
Yefeng Yang ◽  
Bo Yang ◽  
Shilong Wang ◽  
Tianguo Jin ◽  
Shi Li
Keyword(s):  
Service Composition ◽  
Cloud Manufacturing ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Multi Objective

scholarly journals Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1581
Author(s):  
Wenqiang Zhu ◽  
Jiang Guo ◽  
Guo Zhao ◽  
Bing Zeng
Keyword(s):  
Power Supply ◽  
Tidal Current ◽  
System Optimization ◽  
Energy System ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Multi Objective

The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. Furthermore, comparison of hybrid systems with and without tidal current turbines is undertaken to confirm that the utilization of tidal current turbines can contribute to enhancing system reliability and reducing system investment, especially in areas with abundant tidal energy sources.

Optimizing cetane improver concentration in biodiesel-diesel blend via grey wolf optimizer algorithm

Fuel ◽  
2020 ◽  
Vol 273 ◽  
pp. 117784 ◽  
Author(s):  
Erol Ileri ◽  
Aslan Deniz Karaoglan ◽  
Sener Akpinar
Keyword(s):  
Grey Wolf Optimizer ◽  
Grey Wolf

Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization

2020 ◽  
pp. 107061
Author(s):  
Xinming Zhang ◽  
Qiuying Lin ◽  
Wentao Mao ◽  
Shangwang Liu ◽  
Zhi Dou ◽  
...  
Keyword(s):  
Particle Swarm ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Particle ◽  
Clustering Optimization
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