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This paper studies the loading problems of Multi-category Goods under the limited loading capacity. According to the characteristics of model, hybrid heuristic algorithm is used to get the optimization solution. Firstly, adopt binary code so as to make the problem more succinctly. On the basis of cubage-weight balance algorithm, construct initial solution to improve the feasibility. Through adopting...
This paper studies multi-vehicle and multi-cargo loading problem under the limited loading capacity. According to the characteristics of model, hybrid heuristic algorithm is used to get the optimization solution. Firstly, adopt hybrid coding so as to make the problem more succinctly. On the basis of cubage-weight balance algorithm, construct initial solution to improve the feasibility. Secondly, adopt...
With the rapid development of electronic commerce and logistics distribution, multi-depot vehicle routing problem with time windows (MDVRPTW) as influencing electronic commerce more step development, has been paid more attentions. According to the characteristics of model, hybrid heuristic algorithm is used to get the optimization solution. First of all, use hybrid coding so as to simplify the problem,...
This paper studies the loading problems of Multi-category Goods with priority, According to the characteristics of model, hybrid genetic simulated annealing algorithm is used to get the optimization solution. Firstly, adopt binary code so as to make the problem more succinctly. On the basis of cubage-weight balance algorithm, construct initial solution to improve the feasibility. Through adopting...
According to the characteristics of multi-variety and freight loading problems with priority, establish target function fully utilizing capacity and cubage of loading tools. And solve this type of problems utilizing improved hybrid genetic algorithm from the overall situation. Firstly, adopt binary code so as to make the problem more succinctly. On the basis of cubage-weight balance algorithm, construct...
Electronic commerce, as a new commercial mode, has its own particularity comparing with traditional commercial activities. In order to satisfy with the individual and various demand of customer under e-commerce, establish multi-depot vehicle routing problem with backhauls model. For MDVRPB is NP puzzle, get the optimization solution through adopting improved hybrid genetic algorithm, that is, use...
Multi-type vehicles and multi-depot vehicle routing problem with backhauls (MVMDVRPB) has been paid more attentions. According to the characteristics of model, hybrid genetic algorithm is used to get the optimization solution. First of all, use hybrid coding so as to simplify the problem; construct the pertinence of initial solution to enhance the feasibility of solutions; retain the best selection...
Considering the specialties of logistics distribution under electronic commerce, the traditional multi-depot vehicle scheduling model is modified in order to reduce the distribution cost; objective function is modified based on minimum expense. At the same time, in order to improve the distribution service quality and market competition, add maximum work time, many vehicle types, and maximum running...
In order to satisfy with the individual and various demand of customer, establish vehicle scheduling with backhauls model. According to the characteristics of model, hybrid genetic heuristic algorithm is used to get the optimization solution. First of all, use natural number coding so as to simplify the problem; retain the best selection so as to guard the diversity of group. Improved ordinal crossover...
In order to satisfy with the individual and various demand of customer, establish vehicle scheduling with picking delivery model. According to the characteristics of model, hybrid genetic algorithm is used to get the optimization solution. First of all, use natural number coding so as to simplify the problem; use the individual amount control choice strategy so as to guarantee the diversity of group...
The vehicle routing problem of logistics distribution is indispensability contents in logistics distribution optimization. In order to satisfy with the individual and various demand of customer, establish single and mixed fleet multi-depot vehicle routing problem with backhauls model. According to the characteristics of model, hybrid genetic algorithm is used to get the optimization solution. First...
Open vehicle route problem of logistics distribution is the important step optimizing logistics distribution. According to the traditional genetic algorithm shortcomings of slowly convergent speed, weakly partial searching ability and easily premature, therefore, hybrid genetic algorithm is used to get the optimization solution, namely, use dualistic coding so as to simplify the problem and improve...
Electronic commerce, as a new commercial mode, has its own particularity comparing with traditional commercial activities. Logistics Company of Electronic Commerce will face with modern market of multiple batches, small volume, high time requirement and individuation demand. There are big differences from traditional vehicle scheduling in selecting distribution vehicle types, considering transportation...
There are many traditional methods solving logistic distribution problem. However, these methods meet with various problems under electronic commerce in varying degree. Therefore, this paper modifies alternative expenses and time-restricting conditions of location model according to the specific feature of model under electronics commerce. Because location model is a NP question, the result can be...
The logistic distribution has the characteristic of dispersive customer positions, little batches and many repeated routes under common distribution. Therefore, according to the particularity of logistic distribution, the improved cluster first/route second algorithm is adopted to get solutions. Namely, the customer group can be divided into several regions using k-means algorithm in first phase....
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