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The booming development of Internet and E-business world widely has caused an enormous effect on the conduct of global business in fundamental ways. Fresh food commerce, a traditional way of providing things for people's daily lives, has been endowed great implication under the environment of Internet and E-business. Fresh food E-commerce shrinks distances, eliminates intermediaries, and brings about...
Dependence on personal automobiles is becoming increasingly costly due to accelerating climate change and rising gasoline prices. It is particularly wasteful when one realizes that most car seats are typically empty. With the advancement of mobile social networking technologies, it is necessary to reconsider the principles and desired characteristics of ride-sharing systems. Ride-sharing systems can...
The paper investigates a path planning and following algorithm of observing targets for an underwater vehicle-manipulator system(UVMS). The algorithm including the operational task assignment and path following for the UVMS is proposed. The operational task assignment consists of path planning and task assignment. Path planning provides planned trajectory distance between any two targets for task...
In this paper, a novel evolutionary algorithm is proposed for solving route planning problems. Firstly, the route planning attributes were analyzed in detail. Secondly, the constraint expressions, evaluation function, and genetic algorithm were presented. Finally, a numerical example described in this paper shows that the genetic algorithm can generate routes very quickly and can efficiently produce...
Shipment planning (SP) at regional distribution center (RDC) involves order consolidation and vehicle routing decisions under uncertain demands, which is generally very hard to be solved by traditional analytical methods such as mathematical programs. To cope with the complexity of this important problem existing in logistics systems, a general-purpose simulation optimization framework is proposed...
Since resources are scarce and cannot be compensated easily on the battlefield, resource planning and battlefield management should be performed to reserve as much resources as possible. However, most resource planning problems encountered on the battlefield are computationally intractable. Therefore, no exact solution can be found when the battlefield size is large-scale. Hence we designed and implemented...
Heavily congested roads in city areas are a common problem today. Several attempts to solve this problem by improving road infrastructure or imposing restrictions on motor vehicles entering city areas are not feasible, especially in developing countries like Sri Lanka. This may be due to lack of funds to improve the infrastructure, the objections of the general public on applying restrictions on the...
Location-routing problem (LRP) is a combinational optimization problem in a logistics system. Most heuristic methods employed for LRP is dividing the problem into location assignment and vehicle routing with a two-phase method, but this method often does not lead to a satisfactory result for the information can not be compressed from one phase to the other efficiently. In this paper we are concerned...
This paper is focused on the Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) in the context of real-time traffic information. The travel times are based on a time-dependent model in which the travel speeds are step functions. This model is enriched with an exponential smoothing function able to calculate the forecasted speed. This new model of travel times is used by on-line genetic algorithm...
During the process of urban distribution, travel time delay of a route will often lead to the infeasibility of the initial distribution schedule. Focused on this problem, disruption management methodology is applied, and a disruption measurement method is presented, which takes customer unsatisfied index, deviation from the original transport network, and transport cost into considerations. In order...
This paper presents an intelligent decision algorithm and an on-board architecture designed to enable an autonomous underwater vehicle (AUV) to carry out a survey mission autonomously. The connotation of global model in decision algorithm is analyzed, including environment information, mission information and Self-states of AUV. The survey mission of multi-objective operation areas in an unsafe zone...
In this paper, a dynamic vehicle routing problem with time windows (DVRPTW) was developed in the context of real-time traffic information. The objective of the problem is to minimize the travel time of the vehicles based on a time-dependent model in which the travel speeds are step functions. In order to calculate the forecasted speed, this model is enriched with an exponential smoothing function...
A partial chain based Genetic Algorithm (PCGA) is developed to solve the integrated inventory and delivery scheduling in a distribution network where multiproducts at one supplier are distributed to several retailers. The shipments of products to the retailers are subcontracted to professional transportation enterprises via vehicle-rent way. Distinguished from many other distribution models, the amount...
We propose an autonomous decentralized method for multiple AGV robots under uncertain delivery requests. Transportation route plans of AGV robots are expected to minimize the transportation time without collisions among the robots in the systems. In our proposed methods, each robot as an agent computes its transportation route by referring to the static path information, and it exchanges its route...
This paper proposes to realize the multiple air vehicle cooperative initial route planning and the renewal of the threat degree replanning ability for smart air vehicle. For the threat in part of the battlefield the air vehicle had foreseen, we made the sparse roadmap based on the delineation of different kinds of threat degree and search the initial route through genetic algorithm. To ensure the...
Location-routing-inventory problem (LRIP) involves the decisions of three key problems in optimizing a logistics system, i.e. facility location-allocation, vehicle routing, and inventory control. In this paper, a model for the multi-period, multi-depot LRIP with stochastic customer demand in logistics distribution systems is developed. And a mixed genetic algorithm is proposed to solve the model....
In this paper, a multi-objective mathematical model was developed for the assignment of vehicles with minimizing three conflicting objectives. An alternative of variant split delivery strategy allowing the split demands could be delivered by more than one period, was used to cope the fluctuation over available multi-period customer demands. The proposed approach used a systematic method based on a...
The objective of this paper is to study the toll standard of regional expressway network so as to optimizing traffic assignment and consequently reducing the holistic cost of the network. Based on Wardrop's principles and expense analyses, a function called generalized expense model is brought forward to calculate the optimal toll rate. Genetic algorithm (GA) is applied to solving the model according...
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