Efficient Multiprocessor Scheduling Using Water Cycle Algorithm

2017 ◽  
pp. 559-568 ◽  
Author(s):  
Sasmita Kumari Nayak ◽  
Sasmita Kumari Padhy ◽  
Chandra Sekhar Panda
Keyword(s):  
Water Cycle ◽  
Multiprocessor Scheduling ◽  
Water Cycle Algorithm

Efficient Multiprocessor Scheduling Using Water Cycle Algorithm

2018 ◽  
pp. 131-147 ◽  
Author(s):  
Sasmita Kumari Nayak ◽  
Chandra Sekhar Panda ◽  
Sasmita Kumari Padhy
Keyword(s):  
Water Cycle ◽  
Multiprocessor Scheduling ◽  
Water Cycle Algorithm

Water Cycle Algorithm for Parameters Estimation of Solar Photovoltaic Model

2019 ◽  
Vol 7 (3) ◽  
pp. 117
Author(s):  
Abeer Shaban Omar ◽  
Hany M. Hasanien ◽  
Ahmed Al-Durra ◽  
Walid H. Abd El-Hameed
Keyword(s):  
Water Cycle ◽  
Parameters Estimation ◽  
Solar Photovoltaic ◽  
Water Cycle Algorithm

A Comprehensive Evaluation: Water Cycle Algorithm and Its Applications

2018 ◽  
pp. 360-376 ◽  
Author(s):  
Rana Muhammad Sohail Jafar ◽  
Shuang Geng ◽  
Wasim Ahmad ◽  
Safdar Hussain ◽  
Hong Wang
Keyword(s):  
Comprehensive Evaluation ◽  
Water Cycle ◽  
Water Cycle Algorithm

scholarly journals Meaningful Infrastructures in Biological Networks: Related Studies, Algorithms and Evaluation Parameters

2022 ◽  
Author(s):  
Lionel Alangeh Ngobesing ◽  
Yılmaz Atay
Keyword(s):  
Biological Networks ◽  
Network Science ◽  
Water Cycle ◽  
Label Propagation ◽  
Functional Enrichment ◽  
Iteration Algorithm ◽  
Water Cycle Algorithm ◽  
Normalized Mutual Information ◽  
Evaluation Parameters ◽  
Information Functional

Abstract: In network science and big data, the concept of finding meaningful infrastructures in networks has emerged as a method of finding groups of entities with similar properties within very complex systems. The whole concept is generally based on finding subnetworks which have more properties (links) amongst nodes belonging to the same cluster than nodes in other groups (A concept presented by Girvan and Newman, 2002). Today meaningful infrastructure identification is applied in all types of networks from computer networks, to social networks to biological networks. In this article we will look at how meaningful infrastructure identification is applied in biological networks. This concept is important in biological networks as it helps scientist discover patterns in proteins or drugs which helps in solving many medical mysteries. This article will encompass the different algorithms that are used for meaningful infrastructure identification in biological networks. These include Genetic Algorithm, Differential Evolution, Water Cycle Algorithm (WCA), Walktrap Algorithm, Connect Intensity Iteration Algorithm (CIIA), Firefly algorithms and Overlapping Multiple Label Propagation Algorithm. These al-gorithms are compared with using performance measurement parameters such as the Mod-ularity, Normalized Mutual Information, Functional Enrichment, Recall and Precision, Re-dundancy, Purity and Surprise, which we will also discuss here.

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