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Capacitated Arc Routing Problem (CARP) is known as an NP-hard combinatorial optimization problem. Chemical Reaction Optimization (CRO) is a recent metaheuristic inspired by the nature of chemical reactions of molecules and the mechanism of energy redistribution. CRO has been successfully exploited for solving a broad family of continuous and discrete optimization problems. In this paper, we propose...
Vehicle Routing Problem (VRP) has been considered as a significant segment in logistic handling. Thus, a proper selection of vehicle routes plays a very important part to ameliorate the economic benefits of logistic operations. In this paper, we consider the application of a Genetic Algorithm (GA) to a Capacitated Vehicle Routing Problem (CVRP) in which a set of vehicles with limits on capacity and...
In this paper, a new method for division of traffic network for distributed simulation of road traffic is introduced. This method -- Mesoscopic-Simulation-Based Division (MeSBD) is focused on the uniform load of the particular simulation processes. The number of traffic lanes divided by the network division is also considered in order to minimize the inter-process communication in the resulting distributed...
The vehicle routing problem is a class of problems that frequently occurs in the field of transportation logistics. In this work, we tackle very-large scale problem instances with time windows. Among other techniques, metaheuristics are frequently used to solve large-scale instances close to optimality. We present an island-model genetic algorithm variant and apply several techniques such as offspring...
The Multi-objective Vehicle Routing Problem (MoVRP) is an important problem in the logistics distribution management, whose two objective functions are to minimize the global transportation cost and to maximize the average customer satisfaction. The mixed integer programming model of MoVRP is proposed in this paper. And a Hybrid Genetic Algorithm based on Human-Computer Interaction (HGAHCI) is presented...
This research considers a vehicle routing problem of a real application taken from Thai Bakery Company. This vehicle routing problem is to find a route for delivering bakeries from a single depot to the company's customers. The objective of the problem is to the delivery route such that minimize the total distance and, as a consequence, minimize the total number of vehicles used. To achieve the objective,...
The optimal design of a hydraulic damper for rail vehicle application can be a typical problem of multi-objective design optimization. Therefore, specialized computational tool should be developed for the implementation of such designs. This study establishes mathematical models for the optimal design and performances simulation of the most widely used adjustable linear hydraulic damper series, and...
In this paper, we introduced IPGA (improved parallel genetic algorithm), a new parallel genetic algorithm which is based on k1 triangulation of fixed point theory and an injection island approach. This approach guarantees that the processors only generate solutions within their assigned region. And what's more, the k1 triangulation theory is introduced to the genetic algorithm to design convergence...
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...
A parallel genetic algorithm based coarse-grained module for the optimal design of the flexible multi-body model vehicle suspensions is presented and the skeleton implementing is constituted in this paper. This paper tests the algorithm on the cluster system. The results show that the application of the algorithm presented in this paper outperforms equivalent sequential genetic algorithms for the...
A support vector machine (SVM) is applied in the unmanned driving exploration vehicle in this paper. The exploration vehicle is intended for the unknown environment exploration, and will be equipped with six ultrasonic sensors, global position system and a CCD sensor for detecting obstacles. Onboard speed and steering controllers are the core of the guiding system. Measurements of obstacle distance...
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