scholarly journals New Hybrid System of Swarm Intelligence using for Minimal Path Travel on Contours

2021 ◽  
Vol 25 (2) ◽  
pp. 62-67
Author(s):  
Matej Babič
Author(s):  
H Rempp ◽  
S Clasen ◽  
M Voigtländer ◽  
S Kempf ◽  
A Weihusen ◽  
...  
Keyword(s):  

2014 ◽  
Vol 13 (2) ◽  
pp. 113-123 ◽  
Author(s):  
Hak-Song Jeon ◽  
◽  
Jong-Min Kim ◽  
Kwang-Han Bae ◽  
Tae-Oh Kim

2016 ◽  
Vol 14 (4) ◽  
pp. 388-414
Author(s):  
Alexandra P. Mikroulea

AbstractOpt-in or opt-out? That is the basic question to be answered. The decision to promote actions of “opt-in” type as opposed to those of the “opt-out” type, for the sake of private autonomy, does not ensure the effective application of european competition law. On the contrary, it may decrease the application’s intensity and effectiveness. Recent reforms among European state members such as in the United Kingdom, Belgium, the Netherlands, Denmark and Norway are powerful indications that the opt-out principle may result in the effective implementation of competition law. There is no doubt that a mixed system (hybrid system), providing the court with the power to decide in favour of either the opt-in or the opt-out system, will result in better implementation of competition law. At the present time there are two pending cases in England (Dorothy Gibson and Mastercard) for which the decision on opt-out or opt-in are highly anticipated. Should the court decide, in one or both of the cases, on an opt-out approach, this will bring a momentous reevaluation of the entire collective redress concept.


2019 ◽  
Vol 6 (1) ◽  
pp. 61-66
Author(s):  
D. Dalabeih ◽  
◽  
A. Dahbour ◽  
A. Al Mabrouk ◽  
R. Al Qadi

Author(s):  
Marouane El Azzaoui ◽  
Hassane Mahmoudi ◽  
Karima Boudaraia
Keyword(s):  

Author(s):  
A. Radhika ◽  
D. Haritha

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.


2010 ◽  
Vol 1 (08) ◽  
pp. 1386-1391
Author(s):  
Iolanda Sousa ◽  
José Pereira ◽  
Hernani Alcobia ◽  
Paulo Pereirinha

2000 ◽  
Author(s):  
M. Zahran ◽  
A. Hanafy ◽  
O. Mahgoub ◽  
M. Kamel

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