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the aims of this study is to analyze staff scheduling in the Hotel X in Kuwait, as well as, reducing waiting time in queue and developing effective customer service through finding the optimal employees schedule without hiring new staff. The study will be approached by building a simulation model using Arena in order to optimize employees scheduling within reception and housekeeping department during...
This manuscript presents a case study to determine the optimal location and size of photovoltaic systems in an electric distribution networks using particle swarm optimization (PSO) such that network voltage profile is improved and losses are minimized. The distribution network of Masirah Island, Oman, is considered as a case study system. The test system is modeled and simulated using MATLAB load...
This paper address a study of Low-Voltage (LV) distribution system composed by decentralized PV-BES and centralized BES in developing country. The purposes of work is to size the PV-BES which connected into grid. Genetic Algorithm (GA) optimization solver in MATLAB has been employed to size the maximum PV penetration and minimum BES of decentralization according to PV and load curves. A sizing strategy...
This paper presents a new compact low supply current reference and a simulation-based design procedure to establish the circuit parameters quickly and efficiently. To verify the proposed design procedure, two sub 1 V example circuits for two different reference current values (80 nA and 800 nA) were designed and simulated using 0.35 μm CMOS technology. The circuits are robust against supply voltage...
The focus of this paper is emulation of ferrite tile characteristic in WlPL-D Pro 3D EM solver. Usually the characteristic itself is unknown, while the performance characteristic is provided in standard datasheets. By using a relatively simple expressions for EM properties of material, we can proceed to optimize their performance until they reach the specification given in datasheets. A coaxial tube...
This work proposes a residential load management system using multiagent technology with the objective of cost and comfort management. Smart appliances in a residential unit are modelled as agents which are controlled using optimization algorithm. These agents cooperate and communicate with each other using agent communication language (ACL) to reduce electricity cost and high peaks without affecting...
In this paper, we solve the optimizing problem of designing Low-Density Parity Check codes for two parallel erasure links based on the known SDP approach. We show that our reformulation is suitable for this optimizing problem. Our results show that the optimal rate code design problem is a good way and worth-mentioning tool. One can extend our work to the other area.
This paper present the parallelization of firefly algorithm for permutation routing in baseline multistage interconnection network. The proposed parallel firefly algorithm employs a self routing approach to route the permutation in baseline network. The objective of this paper is as follows (i) to improve serial firefly algorithm to parallel one for better utilization of multi core/ many core processor...
We study a single location supply system for repairable spare parts. The system consists of a multi-server repair shop and inventory with ready-to-use spare parts. When a failed part is received, a new (or as-good-as-new) replacement part is sent back, and the failed part is forwarded to the repairshop. In the case of unavailability of spare parts, failed requests are backordered and fulfilled when...
This paper proposes a modified Cultural-based Bee Optimization Algorithm to solve the stochastic optimal power flow (SOPF) problem incorporating a set of wind farms to improve its efficiency and optimize power system generation. The proposed method has been tested under a number of modified IEEE test systems. The results show that solving the SOPF with the proposed algorithm are more effective than...
The evaluation of validities is a fundamental step in the design of the multimodel approach. Indeed, it is thanks to validities that we estimate the contribution of each base-model in the reproduction of the behavior of the global process in a given operating area. In this paper, we propose a new method of base-models' validities computation. This method is based on the optimization of a local criterion...
The primary objective of this research is to convert a stock motorcycle into a drag strip motorcycle and optimize it for best performance in terms of elapsed time in a quarter mile (1320 feet) drag strip. Stock 2014 Ducati Panigale 899 has been used as a reference motor cycle model. The motorcycle is modeled using several models such as engine model, drivetrain model, tire model, chassis model, throttle...
In this paper we consider the problem of spectrum sensing in cognitive radio networks which involves detection of primary (licensed) users (PUs) by secondary (unlicensed) users (SUs), who are interested in transmitting their data opportunistically. To facilitate accurate detection of PUs by the fusion center (FC) based on the energy measurements received from the chosen set of SUs, we formulate an...
This paper presents a hybrid Simulation based Optimization (SbO) approach to solve job shop scheduling problems. SbO structure for classical job shop scheduling introduced by [6] is extended for flexible job shop scheduling problem (FJSSP). Performance of SbO is bench-marked in terms of number of decision variables, constraints, objective value and computational time against various Mixed Integer...
In this paper, a new particle swarm optimization algorithm, adaptive particle swarm optimization (APSO) algorithm, is proposed to optimize the stability and setting time of the fourth generation grate cooler scraper during speed regulation. This algorithm replaces the compression factor with the time varying parameter by using the dynamic variation of the time varying parameters of the traditional...
Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm,...
This paper presents a self-evolving scheme of an agent-based simulation to improve agent simulation models to fit real world data in an incremental way without human intervention by machine learning techniques. The proposed method can solve problems of traditional optimization methods of the agent-based simulation by the incremental optimization of agent simulation models. In this paper, we introduce...
Femtocaching is an effective and low-cost way to address the explosively increased wireless traffic demand driven by video-on-demand (VoD) streaming. Most existing caching policies are optimized for file downloading service, which are not necessarily optimal for the quality of experience of users requesting VoD service. In this paper, the caching policy for VoD service is investigated, where the adaptation...
Energy-efficient design has emerged as a promising technique in heterogeneous networks. We study the energy efficiency problem of joint user association and power allocation in a two-tier heterogeneous network with small cells. The energy efficiency is maximized under certain prescribed quality-of-service requirement and maximum power limit constraint. The original optimization problem is a nonconvex...
The ant colony optimization (ACO) method has been extensively studied recently for solving many combinatorial optimization problems. In this paper, an ant colony optimization method for solving the vehicle routing problem with stochastic demands is presented. The 2-opt local search is employed within the ACO algorithm to improve the qualities of the solutions. Simulation technique is used for the...
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