Discrete Bacteria Foraging Optimization Algorithm for Vehicle Distribution Optimization in Graph Based Road Network Management

2014 ◽  
pp. 351-358 ◽  
Author(s):  
Chiranjib Sur ◽  
Anupam Shukla
Keyword(s):  
Network Management ◽  
Optimization Algorithm ◽  
Road Network ◽  
Bacteria Foraging Optimization Algorithm

A double flora bacteria foraging optimization algorithm

2014 ◽  
Vol 31 (1) ◽  
pp. 43 ◽  
Author(s):  
Jianguo Jiang ◽  
Jiawei Zhou ◽  
Yingchun Zheng ◽  
Runsheng Zhou
Keyword(s):  
Optimization Algorithm ◽  
Bacteria Foraging Optimization Algorithm

scholarly journals Sustainable Maintenance of low level road network

2018 ◽  
Vol 196 ◽  
pp. 04063
Author(s):  
Jan Mikolaj ◽  
L’uboš Remek
Keyword(s):  
Network Management ◽  
Management System ◽  
Road Network ◽  
Road Networks ◽  
Pavement Management ◽  
Network Management System ◽  
Simple Method ◽  
Low Level ◽  
Technical Requirements ◽  
Local Road

Main goal of Road Network Management System is to ensure safety and continuity of road traffic on road network with low intensity and lower technical requirements. This is achieved with pavement management system (main component of road network management system). Most countries developed custom Pavement management systems (PMS) based on deterministic or probabilistic approach. Local road administrators of low level road networks often lack the software equipment such as HDM-4, RoSy, Exor, etc. These and similar PMS Most PMS, however effective, are often cumbersome, demanding in regard to energy, know-how and software equipment. The majority of local road administrators of rural road networks thus resort to non-effective reactive maintenance strategies. This article describes an easy to use method, based on predetermined maintenance repair & rehabilitation standards. Secondly, a simple method, based on road user cost, is introduced that administrator can use to prepare a list of road section eligible for repair according to their repair priority.

Value of monitoring in road network management

2013 ◽  
pp. 715-720
Author(s):  
M Zouch ◽  
W Courage ◽  
O Napoles-Morales
Keyword(s):  
Network Management ◽  
Road Network

scholarly journals A Bio-inspired trajectory planning method for robotic manipulators based on improved bacteria foraging optimization algorithm and tau theory

2021 ◽  
Vol 19 (1) ◽  
pp. 643-662
Author(s):  
Zhiqiang Wang ◽  
◽  
Jinzhu Peng ◽  
Shuai Ding
Keyword(s):  
Trajectory Planning ◽  
Optimization Algorithm ◽  
Robotic Manipulators ◽  
Planning Method ◽  
Robotic Systems ◽  
Control Points ◽  
Interpolation Algorithm ◽  
Tau Theory ◽  
Small Set ◽  
Bacteria Foraging Optimization Algorithm

<abstract><p>In this paper, a novel bio-inspired trajectory planning method is proposed for robotic systems based on an improved bacteria foraging optimization algorithm (IBFOA) and an improved intrinsic Tau jerk (named Tau-J*) guidance strategy. Besides, the adaptive factor and elite-preservation strategy are employed to facilitate the IBFOA, and an improved Tau-J* with higher-order of intrinsic guidance movement is used to avoid the nonzero initial and final jerk, so as to overcome the computational burden and unsmooth trajectory problems existing in the optimization algorithm and traditional interpolation algorithm. The IBFOA is utilized to determine a small set of optimal control points, and Tau-J* is then invoked to generate smooth trajectories between the control points. Finally, the results of simulation tests demonstrate the eminent stability, optimality, and rapidity capability of the proposed bio-inspired trajectory planning method.</p></abstract>

scholarly journals Saddle Node Bifurcation Point Analysis of Voltage Stability of IEEE 30-BUS Power System for Removal of Generation through Bacteria Foraging Optimization Algorithm

2018 ◽  
Vol 7 (3.31) ◽  
pp. 36
Author(s):  
Srikanth B. Venkata ◽  
Lakshmi Devi Ai
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Reactive Power ◽  
Reactive Power Compensation ◽  
Bacterial Foraging Optimization ◽  
Saddle Node Bifurcation ◽  
Saddle Node ◽  
Point Analysis ◽  
Bacteria Foraging Optimization Algorithm ◽  
Bacterial Foraging Optimization Algorithm

This paper deals with the identification of instability nodes of IEEE 30 BUS power system to generation removal. Optimal sizing and locations of reactive power compensations are obtained. Firstly one of the generators is assumed to be removed from service and the saddle node bifurcation (SNB) point voltages are evaluated without reactive power compensation. Secondly two generators are assumed to be removed from service and the saddle node point voltage magnitudes are obtained without reactive power compensation. For both cases the study is conducted by placing optimal reactive power compensations at optimal locations using Bacterial Foraging Optimization Algorithm (BFOA).  

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