CSA: A Route Clonal Selection Algorithm for Dynamic WDM Networks
نویسندگان
چکیده
منابع مشابه
Dynamic Route Selection for Wireless Sensor Networks∗
With the decrease in the cost and size of computing devices, wireless sensor networks (WSNETs) have the potential to be grow to enormous numbers of nodes. To be of utility to evolving missions, such systems must have the ability to be tasked, retasked, and multiply tasked. To support this vision, we investigate the coexistence of multiple routing schemes targeted towards diverse tasks with a go...
متن کاملLoad Balancing in Wdm Networks through Dynamic Route Changes
This study deals with the formulation of an effective and efficient algorithm for load balancing in WDM networks. Here we develop a Load Balancing algorithm for IPlike Routing. The considered networks are based on a routing protocol where the next hop at a given node depends only on the destination of the communication. The aim of this work is to consider the applicability of this approach in t...
متن کاملClonal Selection Algorithm for Dynamic EconomicDispatch with Nonsmooth Cost Functions
This paper presents clonal selection algorithm to solve the Dynamic Economic Dispatch Problem (DEDP) of generating units considering valve point loading effects. It determines the optimal operation of units with predicted load demand over a certain period of time with an objective to minimize total production cost while the system is operating with ramp rate limits. This paper presents DED base...
متن کاملDynamic survivable algorithm for meshed WDM optical networks
In this paper, we propose a novel heuristic survivable algorithm called dynamic path-shared protection (DPSP) to completely protect the double-link failures in meshed Wavelengthdivision-multiplexing (WDM) optical networks. In order to improve the algorithm performance, we focus on considering two key issues that are load balancing and resourcesharing degree when computing the working and backup...
متن کاملKnowledge based genetic algorithm for dynamic route selection
This paper addresses the problem of selecting route to a given destination on a load map under a dynamic environment. The proposed solution is using a genetic algorithm adopting viral infection. The method is to use viruses as domain specific knowledge. A part of an arterial road is regarded as a virus. We generate a population of viruses in addition to a population of routes. Crossover and inf...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Communications Software and Systems
سال: 2011
ISSN: 1846-6079,1845-6421
DOI: 10.24138/jcomss.v7i4.173