scholarly journals Research on the Fish Behavior Simulation based on Swarm Intelligence

2012 ◽  
Vol 43 ◽  
pp. 547-551 ◽  
Author(s):  
Ma Jun
Keyword(s):  
Swarm Intelligence ◽  
Fish Behavior ◽  
Behavior Simulation ◽  
Simulation Based

A new framework for the computer modelling and simulation of car driver behavior

SIMULATION ◽  
2018 ◽  
Vol 94 (12) ◽  
pp. 1081-1097 ◽  
Author(s):  
Sabeur Elkosantini ◽  
Saber Darmoul
Keyword(s):  
Psychological Factors ◽  
Computer Modelling ◽  
Driver Behavior ◽  
Suggested Model ◽  
Physiological Factors ◽  
Behavior Simulation ◽  
Psychological Theories ◽  
Driver Performance ◽  
Simulation Based ◽  
New Framework

In recent years, the simulation of personal car driver behavior has attracted increasing attention in recent research works. Such works are based on models and systems derived from social and psychological studies. The complexity of the simulation of such systems is due to the need for modeling driver behavior and the integration of psychological and physiological factors that can affect driver performance. Although there is only a limited number of models that have been proposed to simulate driver behavior, most of them suffer from limitations pertaining to the integration of some factors, an inadequacy that will be discussed in this paper. This investigation work focuses on the development of a new model for driver behavior simulation based on recent physiological and psychological theories. The model aims to reproduce the driver behavior with respect to some psychological factors. An experimental framework is also presented to build the simulation model. This article concludes by describing some examples of use or application of the suggested model.

scholarly journals Crowd behavior simulation based on shadow obstacle and ORCA models

2018 ◽  
Vol 48 (3) ◽  
pp. 233-247
Author(s):  
Gaoqi HE ◽  
Dongxu JIANG ◽  
Yi JIN ◽  
Qi CHEN ◽  
Xingjian LU ◽  
...  
Keyword(s):  
Crowd Behavior ◽  
Behavior Simulation ◽  
Simulation Based

scholarly journals An Optimal Design of CMOS Two Stage Comparator Circuit using Swarm Intelligence Technique

2018 ◽  
Vol 7 (3) ◽  
pp. 125
Author(s):  
Sasikumar Sasikumar ◽  
Muthaiah Muthaiah
Keyword(s):  
Swarm Intelligence ◽  
Optimization Technique ◽  
Harmony Search ◽  
Flower Pollination Algorithm ◽  
Two Stage ◽  
Mos Transistor ◽  
Flower Pollination ◽  
Input Control ◽  
Simulation Based ◽  
Intelligence Technique

A swarm intelligent based optimization technique named as Flower pollination algorithm (FPA) is applied for the design of the CMOS two stage comparator circuit. The basic idea of FPA mimics the flower pollination process of flowering plants. The input control parameters of FPA improve the exploration and exploitation capabilities of optimization problem. This paper presents the design of a CMOS two-stage comparator circuit using simulation based model called swarm intelligence technique. Simulation results shows that the proposed method is capable to determine the transistor sizes and bias current values of the CMOS comparator. The results obtained from the FPA improved the design performance of comparator in terms of power consumption, MOS transistor area and gain. To investigate the efficiency of proposed approach, comparisons have been carried out with differential evolution (DE) and harmony search (HS) algorithm based circuit design. The performances of FPA based comparator design are better than the previously reported works

scholarly journals An Optimal Design of CMOS Two Stage Comparator Circuit using Swarm Intelligence Technique

2018 ◽  
Vol 7 (3) ◽  
pp. 131
Author(s):  
Sasikumar Sasikumar ◽  
Muthaiah Muthaiah
Keyword(s):  
Swarm Intelligence ◽  
Optimization Technique ◽  
Harmony Search ◽  
Flower Pollination Algorithm ◽  
Two Stage ◽  
Mos Transistor ◽  
Flower Pollination ◽  
Input Control ◽  
Simulation Based ◽  
Intelligence Technique

A swarm intelligent based optimization technique named as Flower pollination algorithm (FPA) is applied for the design of the CMOS two stage comparator circuit. The basic idea of FPA mimics the flower pollination process of flowering plants. The input control parameters of FPA improve the exploration and exploitation capabilities of optimization problem. This paper presents the design of a CMOS two-stage comparator circuit using simulation based model called swarm intelligence technique. Simulation results shows that the proposed method is capable to determine the transistor sizes and bias current values of the CMOS comparator. The results obtained from the FPA improved the design performance of comparator in terms of power consumption, MOS transistor area and gain. To investigate the efficiency of proposed approach, comparisons have been carried out with differential evolution (DE) and harmony search (HS) algorithm based circuit design. The performances of FPA based comparator design are better than the previously reported works

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