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This paper presents an optimized scheduling method for Plugged-in Electric Vehicles (PEV) that are connected to a residential smart microgrid. Two modes of operation are studied: grid-tied and islanded mode. A Genetic Algorithm (GA)-based method is utilized to optimize an objective function, which includes the cost of energy production, and guarantees the best possible energy consumption profile....
The approaches for the parametric synthesis of the automatic control system (ACS) using the genetic algorithm that performs an approximation of Pareto-optimal solutions set are suggested. As a result, two approaches to multi-criteria optimization of ACS were considered: (1) the optimization problem was considered to be three-criteria for equally important criteria, (2) the optimization problem was...
As the complexity of the ocean environment, shape of towed array changes with time and space, so the accurate measurement shape of towed array is the key to improve the performance of signal processing. To solve this problem this paper proposes an estimation method based on genetic algorithm, firstly, established the objective function according to a known distance and azimuth of the target by beam...
In this article a number of engineering alternatives for integrated electronic product description system are analysed. The analysis objective of a set of engineering alternatives is formulated and a detailed description of the solution of the stated objective is presented. The most suitable algorithms in order to accomplish this aim are algorithms based on the use of methods of evolutionary modeling,...
In the machining process, the rationalization of the cutting amount is an important way to effectively improve the productivity, reduce the cost and improve the quality of the workpiece. The rapid development of genetic algorithm has made remarkable achievements in solving the problem of nonlinear optimization. However, in the process of machining, there are many factors that affect the amount of...
Road transportation is one of the main source of carbon dioxide emissions, and it is imperative to estimate the carbon dioxide contribution of road transportation precisely, so that carbon dioxide emission-reduction measures can be designed and implemented appropriately. Microscopic emission models and GPS trajectories are widely used in estimating carbon dioxide emissions. Microscopic emission models...
Bilevel optimization refers to a hierarchical problem in which optimization needs to be performed at two nested levels, namely the upper level and the lower level. The aim is to identify the optimum of the upper level problem, subject to optimality of the corresponding lower level problem. Several problems from the domain of engineering, logistics, economics, and transportation have inherent nested...
As the advantages of good convergence and less computing time in estimating multiple parameters, genetic algorithm (GA) has been applied to estimate the parameters of the multiple scattering centers. It is found that various objective functions (OF) selected in GA yields different estimation results. The performance comparison among different OFs are investigated in detail, based on which, an optimal...
The workforce planning helps organizations to optimize the production process with aim to minimize the assigning costs. A workforce planning problem is very complex and needs special algorithms to be solved. The problem is to select set of employers from a set of available workers and to assign this staff to the jobs to be performed. Each job requires a time to be completed. For efficiency, a worker...
This paper introduces a methodology to propose operational planning actions within a short-time horizon in distribution systems. This methodology considers real-load curves of distribution transformers and distributed-resources composed by photovoltaic and storage systems. Voltage regulators, capacitor banks and distributed-resources are installed in strategic places in order to maintain voltage in...
This paper proposes an efficient methodology to optimally determine the best location and optimum size for Distributed Generators (DG), in a distribution network, while minimizing energy losses and improving voltage profile. The proposed methodology has been designed to consider variable demand and variable DG production scenarios, offering a set of optimum values for DG active power output and power...
The goal of weapon target assignment (WTA), which is one of the classic military operational problems, is to determine the best assignment scheme in order to gain the most benefit while satisfying a number of constraints deriving from the capability of available platforms and munitions (or weapons), as well as target characteristics. In order to overcome the drawbacks of premature convergence of exiting...
This paper conducts a comparative study on the predicted operating characteristics of a series of optimally designed concentrated-winding, V-shaped magnet Interior Permanent Magnet Synchronous Motors (IPMSMs). A local optimizer (nonlinear Simplex) and a global optimizer (Genetic Algorithm (GA)) are separately used to determine the dimensions of each optimized machine based on three distinctive Objective...
This paper proposes a novel optimization algorithm called ant-lion optimizer (ALO) for optimal distributed energy resources (DERs) allocation in various radial distribution networks. The objective function is to maximize the percentage of power losses reduction. The proposed algorithm is executed on IEEE 34 and 118-bus radial distribution networks with different number of installed DERs. The simulation...
In This paper, an improved adaptive genetic algorithm is presented for the design optimization on Permanent magnet synchronous motor(PMSM), which can availably reduce the iterative time and simplify the magnetic circuit calculation during optimization designing. To obtain higher computation speed, C++ language is applied to develop both the basic electromagnetic calculation program and optimization...
This paper uses a multi-objective optimization approach to assess building energy performance for residential homes in the Bahamas with the goal of providing objective data to policymakers to help achieve the country's sustainability goals. A non-sorting genetic algorithm (NSGA-II) is used to find optimal solutions to building design configurations such as wall types, insulation thickness, insulation...
Due to the incremental demands for electrical energy, Distributed Generator (DG) sources are prominent in distribution systems. At the same time, the Locations and Capacities of DG sources have profoundly influenced the system losses in a distribution network. In this paper, a Hybrid algorithmusing Power Loss Index (PLI) & Genetic Algorithm (GA) presented for optimized Location and sizing of DG...
The location problem of logistics center is the key process of logistics distribution, in order to improve the accuracy of the location of logistics center, this paper according to the parallelism and characteristics of global optimization of genetic algorithm. A method based on genetic algorithm is proposed to solve the problem of logistics center location, and set up with the minimum total cost...
Striking hostile ground targets for air force is a crucial way to achieve air superiority in modern warfare. For the maximum efficiency of limited munitions, the optimal weapon target assignment (WTA) scheme should be developed. Aimed at the fact that lots of approaches have been presented for the WTA problem of stationary targets, while less for the ones of moving targets, this paper proposes an...
To improve the measuring accuracy of planar curve profile error, an improved genetic algorithm is put forward to realize self-adaptive matching of measured curve, eliminating the position deviation during error evaluation of planar curve profile. It not only improves the efficiency and precision of the algorithm but also prevents premature convergence to local optimal solutions by introducing a relative...
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