scholarly journals Wireless relay placement optimization in underground room and pillar mines

2018 ◽  
Vol 5 (2) ◽  
pp. 67-75 ◽  
Author(s):  
Arpan Halber ◽  
Debashish Chakravarty
Keyword(s):  
Relay Placement ◽  
Placement Optimization ◽  
Wireless Relay ◽  
Room And Pillar Mines

scholarly journals Deploy-As-You-Go Wireless Relay Placement: An Optimal Sequential Decision Approach Using the Multi-Relay Channel Model

2017 ◽  
Vol 16 (2) ◽  
pp. 341-354 ◽  
Author(s):  
Arpan Chattopadhyay ◽  
Abhishek Sinha ◽  
Marceau Coupechoux ◽  
Anurag Kumar
Keyword(s):  
Channel Model ◽  
Relay Channel ◽  
Sequential Decision ◽  
Relay Placement ◽  
Wireless Relay

scholarly journals Optimal sequential wireless relay placement on a random lattice path

2014 ◽  
Vol 21 ◽  
pp. 1-17 ◽  
Author(s):  
Abhishek Sinha ◽  
Arpan Chattopadhyay ◽  
K.P. Naveen ◽  
Prasenjit Mondal ◽  
Marceau Coupechoux ◽  
...  
Keyword(s):  
Lattice Path ◽  
Random Lattice ◽  
Relay Placement ◽  
Wireless Relay

An algorithm for wireless relay placement

2009 ◽  
Vol 8 (11) ◽  
pp. 5564-5574 ◽  
Author(s):  
Jillian Cannons ◽  
Laurence Milstein ◽  
Kenneth Zeger
Keyword(s):  
Relay Placement ◽  
Wireless Relay

Wireless relay placement

2009 ◽  
Author(s):  
Jillian Cannons ◽  
Laurence B. Milstein ◽  
Kenneth Zeger
Keyword(s):  
Relay Placement ◽  
Wireless Relay

scholarly journals A Modified Niching Crow Search Approach to Well Placement Optimization

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 857
Author(s):  
Jahedul Islam ◽  
Md Shokor A. Rahaman ◽  
Pandian M. Vasant ◽  
Berihun Mamo Negash ◽  
Ahshanul Hoqe ◽  
...  
Keyword(s):  
Optimization Problem ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Multimodal Optimization ◽  
Test Functions ◽  
Well Placement ◽  
Suggested Approach ◽  
Placement Optimization ◽  
Well Placement Optimization ◽  
Search Approach

Well placement optimization is considered a non-convex and highly multimodal optimization problem. In this article, a modified crow search algorithm is proposed to tackle the well placement optimization problem. This article proposes modifications based on local search and niching techniques in the crow search algorithm (CSA). At first, the suggested approach is verified by experimenting with the benchmark functions. For test functions, the results of the proposed approach demonstrated a higher convergence rate and a better solution. Again, the performance of the proposed technique is evaluated with well placement optimization problem and compared with particle swarm optimization (PSO), the Gravitational Search Algorithm (GSA), and the Crow search algorithm (CSA). The outcomes of the study revealed that the niching crow search algorithm is the most efficient and effective compared to the other techniques.

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