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The never-ending increase in energy demand across the globe requires a new approach towards efficiency in the production, distribution and consumption chain. A system that achieves minimum operational losses becomes more and more attractive. This paper tackles the energy efficiency in distribution networks by proposing an optimum allocation and sizing of capacitor banks. Using a genetic algorithm,...
In order to improve the reliability and viability, advanced aircraft is equipped with abundant multiple control surfaces. Control allocation is utilized to assign the virtual control torque to these redundant control surfaces. Due to physical and aerodynamic factors, there are some constraints impacting on each control surface, which makes the control allocation problem become more complex. In this...
Agent-based stochastic simulation is an established approach to study infectious diseases. Its advantage is the flexibility to incorporate important concepts. The effect of various mitigation strategies has been demonstrated using simulation models. Most of the previous studies compared a few options with a few selected scenarios. We propose to use genetic algorithms to search for the best vaccination...
This paper considers the BBU computing resource allocation problem in a C-RAN system. In particular, we consider the additional computing resource consumption introduced for coordination between different BBUs when the tasks of a cell is processed by different BBUs and consider load balancing among multiple BBUs in order to reduce the effect of a breakdown BBU on the system. The problem is formulated...
Due to the shortage of the relationship among the indicators of the system-subsystem-device level of weapon system, and the numerous following impact, operational readiness indicators transferring and spreading relationships among three levels are analyzed. The integrated allocation model of readiness indicators which can meet all the requirements, enable to lower technical and economic cost, and...
Combinational circuits have become more vulnerable to soft errors (SEs) in each CMOS technology generation. Most of the prior studies use hardware redundancy in an attempt to harden the circuits against errors. However, redundancy increases the area and power consumption. Furthermore, the design constraints may not allow adding redundant resources to the final circuit. In this paper, we present a...
A parallel genetic algorithm (GA) implemented on GPU clusters is proposed to solve the Uncapacitated Single Allocation Hub Location problem. The GA uses binary and integer encoding with genetic operators adapted to this problem. Our GA is improved by initially locating hubs at middle nodes. In our implementation we use the power of the GPU to compute in parallel several initial solutions, varying...
Today, Cognitive radio (CR) is found to be the key technology to exploit the unused available spectrum resources; it can sense and use spectrum in an opportunistic manner without creating any harm to cognitive users. In this paper, we develop a cognitive radio access strategy based on the implementation of a dynamic genetic algorithm for CR. The crossover and mutation operators are developed to keep...
Cloud computing allows hosting of multiple services on different datacenters where resources are allocated to users on demand. It uses virtualized environment for functioning services, because without virtualization computing is inefficient and not flexible. Load balancing assure that all the processors in the system does generally the equal load of work at any instant of time. The various traditional...
Multi-robot coalition formation (MRCF) problem deals with the formation of subsets of robotic to handle a particular task. In such a system, every task is executed by multiple robots. Thus, cooperation and coordination among the robots is very important. One of the key issues to be investigated for smooth operation of a multi-robot systems is finding an optimal task allocation among the suitably formed...
In this paper, a new novel Improved Genetic Algorithm (IGA) is proposed to determine the near optimal solution for multi-objective resources allocation at the green cloud data center of smart grid. However, instead of randomly generating the initial chromosomes for crossover and mutation operations the modified first decreasing (MFD) technique generates better solution for the initial population....
Workflow scheduling deals with the mapping of interdependent and compute intensives tasks to the system resources considering all application's requirements. Due to its elastic capabilities, the cloud has been instrumental in effective scheduling of workflow activities. This paper presents a genetic algorithm based metaheuristics to schedule workflow applications on cloud resources with an objective...
According to 3GPP standards, the Single Carrier Frequency Division Multiple Access (SC-FDMA) was adopted for Uplink transmission in LTE networks. As multiple mobiles may have access to neighboring base stations simultaneously, the inter-cell interferences are inevitable with this technique and the system throughput is impacted. To mitigate the inter-cell interference and improve, therefore, the system...
OFDMA (Orthogonal Frequency Division Multiple Access) is the key technology of the fourth-generation mobile communication and has been applied to many communication standards. In this paper, genetic algorithm (GA) is applied to channel allocation of OFDMA system and is improved from three aspects: initial population, fitness function and user fairness. At the same time, combining improved genetic...
The exponential growth of network users and their communication demands have led to a tangible increment of energy consumption in network infrastructures. A new networking paradigm called Software-Defined Networking (SDN) recently emerged which simplifies network management by offering programmability of network devices. SDN assists to lower link data rates via rate-adaptation technique which reduces...
This study investigates the quay crane allocation problem with respect to vessel assigned to a particular discrete berth at a bulk material handling port. In the proposed model,vessels at the anchorage are berthed on a First in, first out (FIFO) basis at the port, and then the quay cranes are assigned to the berth dynamically before berthing and during unloading of the vessel. To solve the model,...
The balancing of assembly lines is one of the most studied industrial problems, both in academic and practical fields. The workable application of the solutions passes through a reliable simplification of the real-world assembly line systems. Time and space assembly line balancing problems consider a realistic versions of the assembly lines, involving the optimization of the entire line cycle time,...
Today, Cognitive radio (CR) is found to be the key technology to exploit the unused available spectrum resources; it can sense and use spectrum in an opportunistic manner without creating any harm to cognitive users. In this paper, we develop a cognitive radio access strategy based on the implementation of a dynamic genetic algorithm for CR. The crossover and mutation operators are developed to keep...
Network Function Virtualization (NFV) is bringing closer the possibility to truly migrate enterprise data centers into the cloud. However, for a Cloud Service Provider to offer such services, important questions include how and when to scale out/in resources to satisfy dynamic traffic/application demands. In previous work [1], we have proposed a platform called Network Function Center (NFC) to study...
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