The Generic Mathematical Model for Dynamic Genetic Algorithm Optimization
نویسنده
چکیده
According to the results of previous research, the genetic algorithm (GA) is a good technique for finding near-global optimal solutions for group optimization. There are three main factors that affect the performance of genetic algorithms: the operator selections; parameter settings and chromosome structure representation, which have previously been left to the user. Dynamic parameter setting is a method that is applied to find the optimal settings for the GA parameters and operators. In this research we presented the mathematical functions, which has been shown to improve the performance of genetic algorithms for empirical test-beds. These models are a generic approach, which encompasses a wide range of possible situations.
منابع مشابه
Mathematical Programming Models for Solving Unequal-Sized Facilities Layout Problems - a Generic Search Method
This paper present unequal-sized facilities layout solutions generated by a genetic search program named LADEGA (Layout Design using a Genetic Algorithm). The generalized quadratic assignment problem requiring pre-determined distance and material flow matrices as the input data and the continuous plane model employing a dynamic distance measure and a material flow matrix are discussed. Computa...
متن کاملA genetic algorithm approach for a dynamic cell formation problem considering machine breakdown and buffer storage
Cell formation problem mainly address how machines should be grouped and parts be processed in cells. In dynamic environments, product mix and demand change in each period of the planning horizon. Incorporating such assumption in the model increases flexibility of the system to meet customer’s requirements. In this model, to ensure the reliability of the system in presence of unreliable machine...
متن کاملA genetic algorithm for a bi-objective mathematical model for dynamic virtual cell formation problem
Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quality. Cellular manufacturing system (CMS), as a means to this end, has been a point of attraction to both researchers and practitioners. Limitations of cell formation problem (CFP), as one o...
متن کاملOptimization of e-Learning Model Using Fuzzy Genetic Algorithm
E-learning model is examined of three major dimensions. And each dimension has a range of indicators that is effective in optimization and modeling, in many optimization problems in the modeling, target function or constraints may change over time that as a result optimization of these problems can also be changed. If any of these undetermined events be considered in the optimization process, t...
متن کاملDesign of a New Mathematical Model for Integrated Dynamic Cellular Manufacturing Systems and Production Planning
This paper presents a new mathematical model for integrated dynamic cellular manufacturing systems and production planning that minimizes machine purchasing, intra-cell material handling, cell reconfiguration and setup costs. The presented model forms the manufacturing cells and determines the quantity of machine and movements during each period of time. This problem is NP-hard, so a meta-heur...
متن کاملA Mathematical Modeling for Plastic Analysis of Planar Frames by Linear Programming and Genetic Algorithm
In this paper, a mathematical modeling is developed for plastic analysis of planar frames. To this end, the researcher tried to design an optimization model in linear format in order to solve large scale samples. The computational result of CPU time requirement is shown for different samples to prove efficiency of this method for large scale models. The fundamental concept of this model is ob...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009