On Optimizing Theory An Application Of Goods Loading And Carrying

From the angle of transportation organization, there are many categories about goods. Goods can be classified into integrated goods and non-integrated goods according to their shapes. The optimizing problem of integrated goods loading and carrying is studied on the background of railway transportation manners in this paper. Goods is divided into long and large goods and small goods ,but out-of-gauge goods transportation has all characters of long and large goods transportation, so this paper is written from two aspects such as optimizing of out-of-gauge goods transportation and optimizing of small goods loading. 1. optimizing of out-of-gauge goods transportation(1)Loading decision. Analyze the basic characters of out-of-gauge goods transportation and the main factors affecting out-of-gauge goods transportation and construct evaluating index system on out-of-gauge goods transportation according to these characters in order to bring forward evaluating models and means. Out-of-gauge goods loading decision is a semi-structured problem and a part of loading parameters can be obtained through setting up and solving mathematical models, but most loading parameters can't be expressed in structured means because of its constrains from expressing abilities of mathematical models and solving conditions, so this paper constructs example reasoning models on out-of-gauge goods loading decision and bring forwards knowledge expresses and deducing mechanisms and gives loading deducing algorithm and machine studying algorithm.(2)Trace decision. Trace decision is a key technique of out-of-gauge transportation. Out-of-gauge goods transportation is described as a mathematical model with double targets and double capacities in this paper. The model with double targets is changed into a model with a single target using thoughts of transportation economy. This paper brings forward maximal capacity route algorithm and checking means of reducing and deleting side and simplifies the problem of out-of-gauge attempering route decision into minimal route problem with capacity restricts and bring forwards multinomial algorithm.(3)Gauge checking and calculating. Gauge checking and calculating is aguarantee for out-of-gauge goods transportation security. This paper carries out protruding analysis of railway gauge and brings forward general algorithm for gauges of bridges and runnels and checking and calculating algorithm for gauges. The analyzing results of protruding problem greatly simplify disposing process of out-of-gauge goods checking.(4)Opening-up and design of intelligent decision system for out-of-gauge goods transportation. Construct frames of IDS S Using theory of knowledge reasoning and means of model drive and open up intelligent decision support system for the rail out-of-gauge goods transportation inosculating with a set of models and algorithms studied above so as to resolve decision problem of out-of-gauge goods transportation on the busy railway net. 2. loading layout optimizing of small goodsLoading optimizing of small goods belongs to layout problems with restricts. It is an NP complete problem. The paper construct loading layout optimizing model on a single vehicle and multiple goods under the condition of concentrated weight restricts and restricts of center of gravity and brings forward new layout means such as s centered framework, layout with restricts of goods laid out and shape similarities first. It resolves loading layout optimizing problem of a single vehicle and multiple goods through algorithms such as constructing loading layout functions mobile of central framework and layout with restricts of goods laid out and using techniques of space combination and amalgamation. The paper generalizes loading models on a single vehicle and multiple goods into conditions of multiple vehicles and multiple goods further so as to construct goods loading layout optimizing model on multiple vehicles and multiple goods. It brings forward similar First Fit partition algorithm and loading layout algorithm for multiple vehicles and multiple goods and resolves loading layout optimizing problem on multiple vehicles and multiple goods with restricts of goods concentrated weight and center of gravity better.