Research on Energy-Saving Charging Combination Based on Group Genetic Algorithm (GGA) and Best Fit (BF) Algorithm
نویسنده
چکیده
As a traditional high energy-consuming industry, the forging industry consumes a lot of energy. The activity consuming highest energy during forging process is the forging and heating. In order to solve the problem regarding how to separate work pieces with different holding temperature intervals and combine them for charging, a group of work pieces with compatible holding temperatures are analyzed for energy-saving charging combination. To aim this, an optimal charging combination model for t energy saving is proposed as well as a group genetic algorithm based on temperature compatibility rule for problem solving. To obtain better optimal solutions, a BF (best fit) heuristic algorithm is designed to generate individuals and initial population as well as an improved crossover operator. At last an instance is analyzed to verify the effectiveness of the proposed model and algorithm, and compared with the present charging planning used in forging enterprises.
منابع مشابه
Design Optimization of Axial Flux Surface Mounted Permanent Magnet Brushless DC Motor For Electrical Vehicle Based on Genetic Algorithm
This paper presents the design optimization of axial flux surface mounted Permanent Magnet Brushless DC motor based on genetic algorithm for an electrical vehicle application. The rating of the motor calculated form vehicle dynamics is 250 W, 150 rpm. The axial flux surface mounted Permanent Magnet Brushless DC (PMBLDC) motor was designed to fit in the rim of the wheel. There are several design...
متن کاملEnergy-Saving in Wireless Sensor Networks Based on Optimization Sink Movement Control
A sensor network is made up of a large number of sensors with limited energy. Sensors collect environmental data then send them to the sink. Energy efficiency and thereby increasing the lifetime of sensor networks is important. Direct transfer of the data from each node to the central station will increase energy consumption. Previous research has shown that the organization of nodes in cluster...
متن کاملEconomic Aspect of Fuel Cell Power as Distributed Generation
This paper presents an energy management strategy to supply residential load by hybrid fuel cell power plant (FCPP). Economical fuel cell (FC) model includes thermal load, local electrical load, operational cost, startup cost and different tariffs on electricity during the day hour is discussed. Several Strategies have been presented for supplying residential load (electrical and thermal loads...
متن کاملOptimal Feature Extraction for Discriminating Raman Spectra of Different Skin Samples using Statistical Methods and Genetic Algorithm
Introduction: Raman spectroscopy, that is a spectroscopic technique based on inelastic scattering of monochromatic light, can provide valuable information about molecular vibrations, so using this technique we can study molecular changes in a sample. Material and Methods: In this research, 153 Raman spectra obtained from normal and dried skin samples. Baseline and electrical noise were eliminat...
متن کاملA Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm
The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or maximum. One of the ways inaccurate optimization is meta-heuristics so that Inspired by nature, ...
متن کامل