Notice of Retraction: Impact of Genetic Algorithm Control Parameters on Chip PDN Decoupling Capacitors Placement

2018 ◽  
Vol 60 (4) ◽  
pp. 945-951 ◽  
Author(s):  
Stefano Piersanti ◽  
Antonio Orlandi
Keyword(s):  
Genetic Algorithm ◽  
Control Parameters ◽  
Decoupling Capacitors ◽  
On Chip

Hybrid genetic algorithm-based optimization of powertrain and control parameters of plug-in hybrid electric bus

2015 ◽  
Vol 352 (3) ◽  
pp. 776-801 ◽  
Author(s):  
Liang Li ◽  
Yahui Zhang ◽  
Chao Yang ◽  
Xiaohong Jiao ◽  
Lipeng Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Control Parameters ◽  
Hybrid Electric Bus ◽  
Electric Bus ◽  
Hybrid Electric ◽  
And Control

Efficient On-Chip Training of Optical Neural Networks Using Genetic Algorithm

ACS Photonics ◽  
2021 ◽  
Author(s):  
Hui Zhang ◽  
Jayne Thompson ◽  
Mile Gu ◽  
Xu Dong Jiang ◽  
Hong Cai ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Neural Networks ◽  
Optical Neural Networks ◽  
On Chip

scholarly journals Reconfigurable on-chip communication link for efficient communication

2018 ◽  
Vol 7 (2-1) ◽  
pp. 417
Author(s):  
Beulah Hemalatha S ◽  
Vigneswaran T
Keyword(s):  
Genetic Algorithm ◽  
Power Consumption ◽  
Low Power ◽  
Optimization Problems ◽  
Research Area ◽  
Low Power Consumption ◽  
Communication Link ◽  
Simulated System ◽  
Efficient Communication ◽  
On Chip

Application specific reconfiguration of On-chip communication link is a fast growing research area in system on chip (SoC) based system design. Optimization of the communication link is important to achieve a trade-off between efficient communication and low power consumption. So achieving both efficient communication and low power consumption requires a special optimization mechanism. Such Optimization problems can be solved using a genetic algorithm. Here, in this paper genetic algorithm based On-chip communication link reconfiguration is presented. The algorithm will optimize efficiency of communication link with constrain of low power consumption. The parameters involved in power consumption and efficient communication link are coded in the chromosomes. By evolutionary iteration the optimal parameters of the communication link are derived that is used for the communication link successfully in the simulated system. The performance of the simulated system is analyzed which shows the out performance of the proposed system.

Design of Network-on-Chip Architectures With a Genetic Algorithm-Based Technique

2009 ◽  
Vol 17 (5) ◽  
pp. 674-687 ◽  
Author(s):  
G. Leary ◽  
K. Srinivasan ◽  
K. Mehta ◽  
K.S. Chatha
Keyword(s):  
Genetic Algorithm ◽  
Network On Chip ◽  
On Chip

scholarly journals Genetic Optimization-Based Consensus Control of Multi-Agent 6-DoF UAV System

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3576 ◽  
Author(s):  
Aws Najm ◽  
Ibraheem Ibraheem ◽  
Ahmad Azar ◽  
Amjad Humaidi
Keyword(s):  
Genetic Algorithm ◽  
Optimization Technique ◽  
Switching Topology ◽  
Control Law ◽  
Genetic Optimization ◽  
Multi Agent System ◽  
Control Parameters ◽  
Consensus Control ◽  
Communication Topology ◽  
Multi Agent

A consensus control law is proposed for a multi-agent system of quadrotors with leader–follower communication topology for three quadrotor agents. The genetic algorithm (GA) is the proposed optimization technique to tune the consensus control parameters. The complete nonlinear model is used without any further simplifications in the simulations, while simplification in the model is used to theoretically design the controller. Different case studies and tests are done (i.e., trajectory tracking formation and switching topology) to show the effectiveness of the proposed controller. The results show good performance in all tests while achieving the consensus of the desired formations.

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