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To improve utilization of resources, efficient resource sharing technique is the key requirement. Recently, Virtual Network Embedding (VNE) has been explored as a resource sharing technique for the modern Internet architecture. The VNE techniques suggested in literature, fault tolerance of connections and nodes of network has not been taken into account. Therefore, these techniques improve resource...
This paper proposes a modeling of data networks with delay, packet loss ratio and network cost and an optimization of them using genetic algorithm. The network delay is expressed in terms of three delays such as propagation delay, transmission delay and queuing delay of links. The packet loss ratio is defined as the ratio of successful packet transmission to total transmission over a link and the...
The problem of cooperative intrusion detection in resource constrained wireless networks (e.g., adhoc, sensor) is challenging, primarily because of the limited resources available to participating nodes. Although the problem has received some attention from the research community, little is known about the tradeoffs among different objectives, e.g. network performance, power consumption, delay in...
Mathematical model based on Gene Expression Programming (GEP) was built for solving the aircraft arrival and departure sequencing problems. The main contributions include: 1. For the sequencing problem, the arrival and departure flights integer chromosome were coded with multi-gene family. 2. Combining with specificity of aircraft, the fitness functions for arrival and departure flights were designed...
For the multi-constrained routing problem, there are several constrained parameters such as the bandwidth, delay, packet loss rate, delay jitter, the QoS parameters influence each other. It has been proved as a NP-Complete problem, traditional linear method often have some difficulties in solving this problem. The application of ant colony algorithm or genetic algorithm often has a slow convergence...
In ongoing efforts to reduce the congestion of the airspace and the cost of company, optimization stands as a fundamental research problem. This paper proposes a new method by establishing a SIMMOD simulate model and a controller workload objective function to address the dynamic slot-route assignment problem of the air traffic. Genetic Algorithms was used that offers a dynamic optimization required...
QoS-aware network planning becomes increasingly important for network operators and ISP alike as the number and heterogeneity of applications supported by networks continue to increase. We have proposed an architecture and methodology to support QoS-aware route planning for IPTV networks. The route planning problem was formulated as a residual bandwidth optimization problem and solved using GA-VNS...
Delay and leakage power uncertainty caused by process variation has become a challenging problem in deep sub-micron technologies. In recent years, the designers have developed methods to tackle this problem in many design levels such as high level synthesis and system level synthesis. This paper addresses the problem of variation-aware task scheduling and binding for multiprocessor system-on-chip...
Intelligent analysis and designing of network routing provides an edge in this increasingly fast era. In this work, we present a variation of Genetic Algorithm (GA) for finding the Optimized shortest path of the network. The algorithm finds the optimal path by using an objective function consisting of the bandwidth and delay metrics of the network. We also introduce the concept of ??2-point over 1-point...
We have formulated and combined three problems: clustering, firewall placement and network hierarchy into one optimization problem, where the objective function is to minimize the total design cost of the synthesized network, while maximizing its security and scalability. Due to the computational complexity of the combined three problems, we have developed a custom-made intelligent algorithm based...
The simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated warehouse can increase the likelihood that high power demand peaks turn unstable the electric system. Furthermore, high power peaks mean the need for more electrical power contracted, which in turns leads to more fixed operation cost and inefficient use of the electrical installations. In this context,...
In this paper, we present a variation of Genetic Algorithm (GA) for finding the Optimized shortest path of the network. The algorithm finds the optimal path based on the bandwidth and utilization of the network. The main distinguishing element of this work is the use of ldquo2-point over 1-point crossoverrdquo. The population comprises of all chromosomes (feasible and infeasible). Moreover, it is...
Whereas multicast transmission in one-to-many communications allows the operator to save drastically network resources, it also makes the routing of the traffic flows more complex than in unicast transmissions. The use of the genetic algorithms (GA) is presented, which can considerably reduce the number of solutions to be evaluated and helps to find the appropriate combination of the trees to comply...
The business of setting up automated teller machines (ATMs) for banks depends on many factors such as the price of buying or leasing an ATM, cost of deployment, cost of operation, and ATM characteristics to be deployed. ATM deployment is an intensive computational problem since it is analogous to file server placement, which is known to be as NP-complete problem. Also, ATM maintenance is an intensive...
The genetic algorithm is used to solve the multi-objective networks design problem that requires selecting a best route to make a balance with cost and delay of the route. Firstly, the mathematical model of the problem is given, then the nondominated sorting generate algorithm is used to solve the model. The algorithm uses coding method with integer to form chromosomes and an initial population is...
A radiation harden technique based on gate sizing and multi-objective genetic algorithm (MOGA) is developed to optimize the soft error tolerance of standard cell circuits. Soft error rate (SER), chip area and longest path delay are selected as the optimization goals and fast fitness evaluation algorithms for the three goals are developed and embedded into the MOGA. All the three goals are optimized...
Based on QoS constraints such as delay, delay jitter, bandwidth and packet loss metrics this paper describes a network model suitable for investigating the routing problem and presents a multicast routing algorithm with multiple QoS constraints based on GA and TS hybrid strategy. This algorithm takes advantage of GA and TS and overcomes the shortcomings of GA used in solving the multicast routing...
Qos multicast routing is of great importance for many multimedia communication applications such as videos conference, remote education, CSCW and so on. In order to effectively resolve Qos multicast routing, this paper mainly focus on the bandwidth-delay-constrained least-cost multicast routing problem, and present a memetic algorithm(MA) to deal with this problem. The experimental results show that...
Multimedia communications and, in particular, multicast communications are widely used to distribute multimedia contents. When a certain quality of service (QoS) level must be guaranteed in the multicast tree construction then a Steiner tree problem is obtained, therefore a NP-complete problem must be faced. QoS multicast has a great relevance in the research community because it can offer high performances...
Aircraft landing scheduling is a multiobjective optimization problem with lots of constraints, which is difficult to be dealt with by traditional multiobjective evolutionary algorithms with general constraint handling strategies such as constraint-dominate definition. In this paper we pertinently designed an effective constraint handling method, and then presented a multiobjective evolutionary algorithm...
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