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The quality of service multicast routing problem (QoSMRP) is a very interesting research issue for transmission in communication networks. It is known to be an NP-hard problem, so many heuristic algorithms have been employed for solving this problem. This paper proposes two hybrid approaches based on the hybridization of Firefly algorithm (FA) with Quantum Evolutionary algorithm (QEA) to solve the...
Vehicle Route Optimization (VRO) is one of most important topic now-a-days as if it can be manipulated, then pollution, one of the biggest enemy of the environment may be curbed out. Basic objective of the classical problem of Vehicle Routing Problem (VRP) is to find a path in a group of city such that the length of path of all cities connected together is minimized and to solve the problem along...
The paper proposes using a neuro-fuzzy controller in telecommunication networks for improving the routing process. An architecture of the neuro-fuzzy controller was developed. Linguistic variables, terms and membership functions for input and output values were defined. A rules base was developed. The operation of the neuro-fuzzy controller was simulated and trained.
The random nature of network topology is a major challenge while developing new routing protocol for Opportunistic Networks (OppNets). Additionally, other factors like intermittent connections, limited bandwidth etc. further restrict the performance of existing routing protocols. In this paper, an advanced context aware routing protocol called GAP is proposed. The proposed protocol efficiently combines...
In recent years, logistics industry has received extensive attention with the development of online shopping. Logistics distribution is the core of logistics industry. Scientifically rational logistics distribution can save delivery cost and improve customer satisfaction. Therefore, it is very important to study the two echelon vehicle routing problem (2E-VRP) in logistics distribution.Artificial...
In this poster, we investigate the problem of scheduling mobile chargers in roadside wireless rechargeable sensor network. Taking mobility constraints caused by city topological graph into consideration, we aim at optimizing the traveling path for chargers to minimize the traveling cost. erefore, the scheduling problem is converted into edge coverage problem, which is substantially dierent from the...
Energy saving and pollution in traffic have been important considerations in vehicle routing problems(VRP). This paper considers energy minimization VRP (EMVRP) with heterogeneous vehicles. The objective is the product of the arc length and the weight of the vehicle when it traverses that arc. To solve the problem, an improved genetic algorithm is proposed, which employs novel genetic coding and operations...
The Workforce Scheduling and Routing Problem refers to the assignment of personnel to visits across various geographical locations. Solving this problem demands tackling numerous scheduling and routing constraints while aiming to minimise total operational cost. One of the main obstacles in designing a genetic algorithm for this highly-constrained combinatorial optimisation problem is the amount of...
A concept of existing IP-networks reorganization to meet the requirements of VoIP networks deployment at their base has been proposed. The mathematical model of voice calls routing and algorithm based on the model have been developed. The simulation of VoIP system has proved the adequacy of the mathematical model and the efficiency of the algorithm.
The operation schedule of an oceangoing ship is influenced by wave and wind disturbances, and is therefore weather routing. The work shows the goal of finding a safe and time-saving route by meteorological obtained based on modified genetic algorithm. By improving selection operator of genetic algorithm the author achieves the goal of finding the optimal route more quickly and precisely. In the cross...
This paper describes the developed genetic, ant colony and bee algorithms for solving the following printed circuit board (PCB) design multi-criteria optimization problems: PCB elements packaging within modules, irregularly shaped components placement on PCB, and multilayer PCB routing. The results of the simulation experiments confirm that the bionic algorithms have the better convergence and better...
In Three Dimensional Integration Circuit (3D IC) challenges involved in removing heat from the intervening layers. Here, the thermal analysis of TTSVs (Thermal Through Silicon Vias) at the heat sink of the circuit and also the optimizations of corresponding heat sinks has been carried out using Genetic algorithm (GA) with IBM-route benchmark circuits as a inputs. Compared to the previous experimental...
Internet of Things (IoT) is a new network paradigm that allows the virtual presence of physical objects in our life. The main idea of IoT is origin from equipping daily life objects with embedded devices. Meanwhile, due to the low cost and high availability of sensor devices, wireless sensor networks (WSNs) have a great role in overspreading of IoT. This paper presents a new routing algorithm in order...
This paper proposes an ant colony optimization (ACO) to solve the full-truckload selective multi-depot vehicle routing problem under time windows constraints (denoted by FT-SMDVRPTW). The objective is to construct a solution composed of a set of routes associated with the trucks, aiming at maximizing the total profit. Each order is a pickup and delivery order associated with an origin, a destination,...
This paper provides a stochastic optimization algorithm for the planning of distribution system (DS) feeders. The algorithm finds the optimal feeder routing considering the stochastic variations of load demands (e.g., electric vehicle charging stations) as well as renewable-based distributed generators (DGs) (e.g., photovoltaic and wind DGs). The stochastic variations are addressed using a Monte-Carlo...
Routing and spectrum assignment (RSA) problem is a crucial task in designing, planning and operating next-generation optical network based on flex-grid scheme. In practical cases, solving RSA problem involves a number of objectives which, very often, may be in conflict to each other. The need is therefore to find a pool of solutions, known as Pareto-optimal solutions, which are equally optimal. In...
Driven by environmental concerns, electric vehicles (EVs) have been used in last-mile delivery in some areas. Limited cruising range, long recharge time and insufficient number of recharging stations have to be considered in route planning to avoid unnecessary detours. In this paper we present a vehicle routing problem for battery electric vehicles with time window constraints. Both driving costs...
How to improve communication effectiveness of command and control organization is one of the core issues to be addressed in the network-centric warfare. This paper is to build a mathematical modeling from three communication effectiveness metrics: communication cost, network delay and reliability. Information capacity and delay demands based on task are also needed to constrain the target. Genetic...
The Internet is dramatically evolving and creating various connectivity methodologies. The Internet of Things (IoT) is one of these methodologies which transform current Internet communication to Machine-to-Machine (M2M) basis. The IoT can seamlessly connect the real world and cyberspace via physical objects that are embeded with various types of intelligent sensors. The opportunistic networks are...
The Ant Colony System (ACS) is a variant of Ant colony optimization algorithm. It is very famous with Traveling Salesman Problem. The parameters of ACS in tour construction, global and local updating pheromone direct effort to get the best result of this but they are often manually setting up. Beside, building the heuristic function to decide a choice next node on tour is potential research approach...
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