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The massive demand of mobile data traffic stimulates the emergence of cache-enabled heterogeneous cellular networks (HetNets). Caching at the network edge can reduce the duplicated transmissions of the contents and improve users' quality of service (QoS), however, the dense deployment of cache-enabled small base stations (SBSs) and relays poses a challenge on energy consumption. Several emerging technologies...
Group role assignment (GRA) with flexible formation (called GRAFF) is a complex problem. The solution with GRA-Based on Exhaustive Search (GRA-ES) is too complex to be practical and the solution with Linear Programming-Based Algorithm (LPBA), implementing by Matlab and IBM ILOG CPLEX package, do not work well when the search space exceeds an extent. This paper proposes a solution to solve GRAFF based...
The operation scheduling is a crucial factor that can affect the economic and environmental benefits and operation reliability of the microgrids (MGs). However, widely used scheduling methods are lacking in the comprehensive consideration for the multi-objective (MO) property and robustness of the system operation. Also, the generated solutions might not diminish the disturbance of uncertainty under...
In order to reduce the inherent defects and complexity of the multi-AGV system, a new guide-path configuration of mixed regional control module and its path scheduling is investigated. By a scheme of the shortest waiting time for the task, the efficiency of the system running time is achieved in the multi-AGV system. By a distributed coordination control approach, the conflicts and deadlocks between...
In this paper, an integrated model is proposed to optimize train schedules and circulation plans simultaneously according to a given service pattern. The objective of our model is to minimize the headway deviations and the number of required rolling stocks. In particular, the headway deviations are the deviations between headways that between two successive train services and that given by service...
Over these last years, the number of cores witnessed a spectacular increase in digital signal and general use processors. Concurrently, significant researches are done to get benefit from the high degree of parallelism. Indeed, these researches are focused to provide an efficient scheduling from hardware/software systems to multicores architecture. The scheduling process consists on statically choose...
The ARIEL mission main goal is the measurement of atmospheres of transiting planets. This requires the observation of two types of events: primary and secondary eclipses. In order to yield measurements of sufficient Signal-to-Noise Ratio to fulfill the mission objectives, the events of each exoplanet have to be observed several times. In addition, several criteria have to be considered to carry out...
This paper presents a traffic signal scheduling strategy with consideration of both pedestrians and vehicles in the urban traffic system. Firstly, a novel mathematical model consisting of several logic constraints is proposed to describe the pedestrian flow in the urban traffic network and its dynamics are developed based on the crossing rules. Secondly, a mathematical model about the vehicle traffic...
This paper reports successive results of the research dealing with so called cyclic production system, which provides constantly on the output a fixed mixture of various goods produced in a short series. Starting from our previous results developed already for classical systems occurring in OR field, as well as formulated for basic manufacturing systems with cycle time criterion, we extend the approach...
In this work, a job-flow scheduling approach for Grid virtual organizations (VOs) is proposed and studied. Users' and resource providers' preferences, VOs internal policies, resources geographical distribution along with local private utilization impose specific requirements for efficient scheduling according to different, usually contradictive, criteria. With increasing resources utilization level...
Smart home scheduling, as one of the most effective techniques in Demand Side Management (DSM), is now attracting more and more research interests in the recent years. In this paper we propose an efficient scheduling algorithm for smart home resident to reduce the monetary cost of the electricity. The proposed algorithm is an improved particle swarm optimization(PSO) algorithm that can schedule the...
Cloud computing is the expansion of parallel computing, distributed computing. The technology of cloud computing becomes more and more widely used, and one of the fundamental issues in this cloud environment is related to task scheduling. However, scheduling in Cloud environments represents a difficult issue since it is basically NP-complete. Thus, many variants based on approximation techniques,...
This paper proposes an effective global Fruit Fly Optimization (GFFO) for the hybrid flowshop (HFS) problem with makespan criterion. To improve FFO's exploration ability, a global osphresis foraging and a global vision foraging is introduced. We calibrate the parameters and operators for the presented GFFO algorithm by means of a design of experiments approach. Comparative evaluations show that the...
One of the key methods for the optimization of parallel processing in a program is task scheduling. This intends to minimize implementation time for the entire program by determining schedule for optimally allocating tasks, which are processing units comprising the program, to available processor elements into pieces. Due to complexity of calculation and being a large-scale problem, the optimization...
Energy consumption has become a major concern in the recent years and Green computing has arisen as one of the challenges in order to reduce CO2 emissions in the computing domain. Many efforts have been made to make hardware less energy consuming, reduce cooling energy of data and computing centers by relocating those facilities to cool regions and other. A novel approach to make the computing domain...
The periodic vehicle routing problem (PVRP) can be applied to extend deliveries to a known number of customers in one day to several days (a period). Vehicle routing has to be planned in accordance with different customer clusters with service demand on each day of the period. Therefore, a two-dimensional discrete PSO (TDPSO) is designed in this study to find solutions to the two sub-problems when...
We are interested in an easy combinatorial optimization problem having several applications in the real world, namely the matrix chain product problem that may be solved by a well known dynamic programming algorithm (DPA). Our contribution is two-fold. It first consists in the design of an approach based on the DPA for the determination of multiple optimal solutions i.e. optimal parenthesizations...
Similar to Virtualization, Linux Containers (LXC) provides high-performance, lightweight computing resource allocation and isolation. Each LXC container has a resource overhead smaller than that of a virtual machine, leading to significantly lower container migration time and making frequent container placement modification a viable optimization technique. Traditional container scheduling mechanisms...
User fairness and spectrum efficiency are conflicting objectives in cellular system optimization given that users share limited spectrum resources. Users at the cell edge are more likely to be unfairly treated due to their disadvantageous locations, where they experience high path losses and strong interferences if co-channel transmission exists. In this paper, a cell edge boundary is obtained and...
Considering the low efficiency and lack of intelligent dispatching decision of the agricultural machinery scheduling problem, an improved Immune-Tabu Search Algorithm (ITSA) based on the immune optimization algorithm is proposed. A new operator, named TSA, is designed through improvement on the generation of neighborhood solution based on the tabu search algorithm. At the beginning of the iterations,...
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