Optimal design of pile wall retaining system during deep excavation using swarm intelligence technique

Structures ◽  
2020 ◽  
Vol 28 ◽  
pp. 1991-1999
Author(s):  
F. Taiyari ◽  
M. Kharghani ◽  
M. Hajihassani
Keyword(s):  
Optimal Design ◽  
Swarm Intelligence ◽  
Deep Excavation ◽  
Intelligence Technique

scholarly journals MPPT of PV System Under Partial Shading Conditions Based on Bio-inspired Swarm Intelligence Technique

2021 ◽  
Vol 297 ◽  
pp. 01051
Author(s):  
Mohammed Agdam ◽  
Abdallah Asbayou ◽  
Mustapha Elyaqouti ◽  
Ahmed Ihlal ◽  
Khaled Assalaou
Keyword(s):  
Swarm Intelligence ◽  
Electrical Energy ◽  
Pv System ◽  
Partial Shading ◽  
Matlab Simulink ◽  
Photovoltaic Modules ◽  
Pv Module ◽  
Maximum Current ◽  
Maximum Voltage ◽  
Intelligence Technique

To respond to the increase in demand for electricity, the use of photovoltaics is growing considerably as it produces electrical energy without polluting the environment. In addition, to enhance the efficiency of photovoltaic modules, an MPPT algorithm is required to follow the maximum voltage and maximum current in the IV curve. This technique can be achieved by using a DC-DC converter. For this purpose, various MPPT techniques have been developed. The combination of MPPT and DC-DC converter is implemented using Matlab/Simulink and connected to a modelled PV module to validate the simulation.

Swarm-Based Techniques in E-Learning

2011 ◽  
pp. 199-212
Author(s):  
Sergio Gutiérrez ◽  
Abelardo Pardo
Keyword(s):  
Artificial Intelligence ◽  
Swarm Intelligence ◽  
Social Insects ◽  
Learning System ◽  
The Internet ◽  
Artificial Intelligence Technique ◽  
E Learning ◽  
Weak Points ◽  
Intelligence Technique

This chapter provides an overview of the use of swarm-intelligence techniques in the field of e-learning. Swarm intelligence is an artificial intelligence technique inspired by the behavior of social insects. Taking into account that the Internet connects a high number of users with a negligible delay, some of those techniques can be combined with sociology concepts and applied to e-learning. The chapter analyzes several of such applications and exposes their strong and weak points. The authors hope that understanding the concepts used in the applications described in the chapter will not only inform researchers about an emerging trend, but also provide with interesting ideas that can be applied and combined with any e-learning system.

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