The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This study introduces differential evolution to solve the transportation problem with fuzzy coefficients. Differential evolution has received increasing attention owing to its simplicity and effectiveness in solving numerical optimization problems. The fuzzy coefficients in the objective functions include fuzzy demands and fuzzy supplies, which are represented as fuzzy numbers. The signed-distance...
In network optimization problems, the application of conventional integrated selection and scheduling solution methods becomes complicated when the size of the problems, such as real life project management and transportation problems, get bigger. Additionally, the problems often consist of disjunctive networks, which traditionally results in separating the steps of the integrated approach. When the...
In transportation, the path finding problem is usually defined as the shortest path (SP) problem in deterministic terms (distance, deterministic cost, etc.). However, in real life situation, many information are uncertainty (travel time, travel cost or combination of criteria). In this paper we present a formulation for the multi-objective paths problem in dynamic and stochastic networks. In order...
The aim of this work is to introduction a genetic algorithm to solve transportation problem with fuzzy objective functions. The fuzzy objective functions have fuzzy demand and supply coefficients, which are represented as fuzzy numbers. The ranking fuzzy numbers with signed-distance measurement are used for the evaluation and selection of the algorithm. The proposed genetic algorithm is not only simulating...
Based on the optimization of transportation problem of Wulongquan Mine, genetic algorithm and Hopfield network are integrated for solving transportation problems of stripping rock. The optimization methods of genetic algorithm in artificial neural network weight, structure and algorithm are introduced; and GA-Hopfield network method is established for solving transportation problems. In GA-Hopfield...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.