Firefly Algorithm: Enhanced Version with Partial Population Restart Using Complex Network Analysis

2017 ◽  
pp. 59-68
Author(s):  
Tomas Kadavy ◽  
Michal Pluhacek ◽  
Adam Viktorin ◽  
Roman Senkerik
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Firefly Algorithm ◽  
Complex Network Analysis ◽  
Partial Population

Extended experimental study on PSO with partial population restart based on complex network analysis

2018 ◽  
Vol 28 (2) ◽  
pp. 211-225 ◽  
Author(s):  
Michal Pluhacek ◽  
Adam Viktorin ◽  
Roman Senkerik ◽  
Tomas Kadavy ◽  
Ivan Zelinka
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Statistical Evaluation ◽  
Swarm Optimization ◽  
Network Construction ◽  
Extended Study ◽  
Complex Network Analysis ◽  
Diversity Measures ◽  
Time Requirements ◽  
Partial Population

Abstract This extended study presents a hybridization of particle swarm optimization (PSO) with complex network construction and analysis. A partial population restart is performed in certain moments of the run of the algorithm based on the information obtained from a complex network analysis. The complex network structure represents the communication in the population. We present experimental results of the method alongside with statistical evaluation and discuss future possibilities of this approach. The main goal of the work is not to propose a new highly competitive PSO variant but to present the possibility of using the unconventional tool as an alternative to conventional diversity measures. The main benefit of the network analysis is that it has same-time requirements regardless of the dimension of the problem.

PSO with Partial Population Restart Based on Complex Network Analysis

2017 ◽  
pp. 183-192 ◽  
Author(s):  
Michal Pluhacek ◽  
Adam Viktorin ◽  
Roman Senkerik ◽  
Tomas Kadavy ◽  
Ivan Zelinka
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Complex Network Analysis ◽  
Partial Population

scholarly journals Detecting Tourism Typologies of Regional Destinations Based on Their Spatio-Temporal and Socioeconomic Performance: A Correlation-Based Complex Network Approach for the Case of Greece

2021 ◽  
Vol 2 (1) ◽  
pp. 113-139
Author(s):  
Dimitrios Tsiotas ◽  
Thomas Krabokoukis ◽  
Serafeim Polyzos
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Community Detection ◽  
Optimization Algorithm ◽  
Spatial Dimension ◽  
Economic Dimension ◽  
Complex Network Analysis ◽  
Time Period ◽  
Time Patterns ◽  
Spatio Temporal

Within the context that tourism-seasonality is a composite phenomenon described by temporal, geographical, and socio-economic aspects, this article develops a multilevel method for studying time patterns of tourism-seasonality in conjunction with its spatial dimension and socio-economic dimension. The study aims to classify the temporal patterns of seasonality into regional groups and to configure distinguishable seasonal profiles facilitating tourism policy and development. The study applies a multilevel pattern recognition approach incorporating time-series assessment, correlation, and complex network analysis based on community detection with the use of the modularity optimization algorithm, on data of overnight-stays recorded for the time-period 1998–2018. The analysis reveals four groups of seasonality, which are described by distinct seasonal, geographical, and socio-economic profiles. Overall, the analysis supports multidisciplinary and synthetic research in the modeling of tourism research and promotes complex network analysis in the study of socio-economic systems, by providing insights into the physical conceptualization that the community detection based on the modularity optimization algorithm can enjoy to the real-world applications.

Complex Network Analysis of Wire-Mesh Sensor Measurements for Characterizing Vertical Gas–Liquid Two-Phase Flows

2020 ◽  
Vol 67 (6) ◽  
pp. 1134-1138 ◽  
Author(s):  
Zhongke Gao ◽  
Hongtao Wang ◽  
Weidong Dang ◽  
Yongqiang Li ◽  
Xiaolin Hong ◽  
...  
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Wire Mesh ◽  
Two Phase Flows ◽  
Two Phase ◽  
Complex Network Analysis

Combining K-means method and complex network analysis to evaluate city mobility

2016 ◽  
Author(s):  
Emerson Luiz Chiesse da Silva ◽  
Marcelo De Oliveira Rosa ◽  
Keiko Veronica Ono Fonseca ◽  
Ricardo Luders ◽  
Nadia Puchaslki Kozievitch
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Complex Network Analysis
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