Genetic algorithms for local model and local controller network design

2002 ◽  
Author(s):  
S.K. Sharma ◽  
S. McLoone ◽  
G.W. Irwin
Keyword(s):  
Genetic Algorithms ◽  
Network Design ◽  
Local Model ◽  
Local Controller

Survivable wavelength-routed optical network design using genetic algorithms

2008 ◽  
Vol 19 (3) ◽  
pp. 247-255 ◽  
Author(s):  
Y. S. Kavian ◽  
W. Ren ◽  
M. Naderi ◽  
M. S. Leeson ◽  
E. L. Hines
Keyword(s):  
Genetic Algorithms ◽  
Network Design ◽  
Optical Network ◽  
Optical Network Design

scholarly journals Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Tao Zhang ◽  
Gang Ren ◽  
Yang Yang
Keyword(s):  
Genetic Algorithms ◽  
Network Design ◽  
Weighted Sum ◽  
Hybrid Metaheuristic ◽  
Route Network ◽  
Proposed Model ◽  
Transit Route ◽  
Solution Methodology ◽  
Unsatisfied Demand

This paper follows the previous effort of authors and builds the model of transit route network design for low-mobility individuals, proposing an appropriate solution methodology. Firstly, a desired objective, whose priority is to meet transit demands of low-mobility individuals followed by those of general public, is presented to minimize the weighted sum of direct traveler, transfer, and unsatisfied demand costs. Then, a hybrid metaheuristic approach based on ant colony and genetic algorithms is formulated to solve the proposed model in accordance with current conditions (i.e., existing routes that may need to undergo configuration adjustments to different degrees). Finally, the case study of Wenling is presented to highlight the performance and benefits of the proposed model and solution methodology.

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