The blossoming of electric vehicles gives rise to a new vehicle routing problem (VRP) called capacitated VRP. Since charging is not as convenient refueling, both the service customers and recharging should be considered. In this article, we propose confidence-based bilevel ant colony optimization (ACO) algorithm solve problem. It divides whole into upper level subproblem VRP lower fixed For sub...

Vehicle-routing problems (VRP) have been studied in depth. While traditional VRPs have been thoroughly studied, limited research has to date been devoted to multiobjective, real-time management of vehicles. In this paper a real-time multi-objective VRP is presented and mathematically formulated. Using four case studies, based on two real-world transportation networks (urban and interurban); the...

This study aims to explore the usability of virtual robotics programming curriculum (VRP-C) for teaching. Pre-service computer science (CS) teachers were trained teaching by using VRP-C in a scientific education activity. After training, views participants revealed scale and an evaluation form consisting open-ended questions. Results show that is compatible with schools, pre-service CS tend use...

Normative voice range profiles (VRP) are calculated for a group of male and female teachers, based on 43 and 46 recordings, respectively. All individuals had healthy voices. These normative VRPs contain 95% prediction intervals for both frequency and intensity. They are based on a series of mathematical transformations of the original individual VRPs in order to maintain in the normative VRPs t...

In previous research, the authors’ group has discussed both the development and prototype of the proposed courtesy bus scheduling system for a day care. The research found in this paper highlights the upgrades of the system. The arrival time of the buses and their allocation to the customers is explicitly considered. Then, the problem is formulated as a Vehicle Routing Problem with Time Window ...

A multi-agent VRP solver is presented in this paper. It utilizes the contract-net protocol based allocation and several improvement strategies. It provides the solution with the quality of 81% compared to the optimal solution on 115 benchmark instances in polynomial time. The self-organizing capability of the system successfully minimizes the number of vehicles used. The presented solver archit...

Genetic Vehicle Representation (GVR) is a two level representational scheme, designed to deal in an effective way with all the information needed by candidate solutions, for the Vehicle Routing Problem (VRP). In this paper, we present an analysis on the influence of two crossover operators in the algorithm performance. A first study on diversity is also presented, regarding the issues of divers...

For humanoid robots to be used in real world scenarios, there is a need of robust and simple walking controllers. Limitation to flat terrain is a drawback of many walking controllers. We overcome this limitation by extending the concept of Divergent Component of Motion (DCM, also called ‘Capture Point’) to 3D. Therefor, we introduce the “Enhanced Centroidal Moment Pivot point” (eCMP) and the “V...

This paper evokes the vehicle routing problem (VRP) which aims to determine the minimum total cost pathways for a fleet of heterogeneous vehicles to deliver a set of customers' orders. The inability of optimization algorithms alone to fully satisfy the needs of logistic managers become obvious in transportation field due to the spatial nature of such problems. In this context, we couple a geogr...

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