Problem definition: For the standard newsvendor problem with an unknown demand distribution, we develop approach that uses data input to construct a distribution ambiguity set nonparametric characteristics of true and use it make robust decisions. Academic/practical relevance: Empirical relies on historical estimate distribution. Although estimated converges its performance limited is not guaranteed. Our generates decisions from constructed by data-driven estimators for includes desired...

Abstract This article studies a min‐max path cover problem, which is to determine set of paths for k capacitated vehicles service all the customers in given weighted graph so that largest cost minimized. The problem has wide applications vehicle routing, especially when minimization latest completion time critical performance measure. We have analyzed four typical variants this where either unlimited or limited capacities, and they start from depot any set. developed approximation algorithms...

Forecasting stock returns is extremely challenging in general, and this task becomes even more difficult given the turbulent nature of Chinese market. We address selection process as a statistical learning problem build cross-sectional forecast models to select individual stocks Shanghai Composite Index. Decile portfolios are formed according rankings forecasted future cumulative returns. The equity market's neutral portfolio—formed by buying top decile portfolio selling short bottom...

A hybrid physics-machine learning modeling framework is proposed for the surface vehicles' maneuvering motions to address capability and stability in presence of environmental disturbances. From a deep perspective, based on variant version residual networks with additional feature extraction. Initially, an imperfect physical model derived identified capture fundamental hydrodynamic characteristics marine vehicles. This then integrated feedforward network through block. Additionally,...

Global path planning is the key technology in design of unmanned surface vehicles. This paper establishes global environment modelling based on electronic charts and hexagonal grids which are proved to be better than square validity, safety rapidity. Besides, we introduce Cube coordinate system simplify algorithms. Furthermore, propose an improved A* algorithm realise between two points. Based that, build for multiple task points present ant colony optimisation it accurately. The simulation...

Classic portfolio selection problems mainly focus on high-risk financial markets with tradeoffs between returns and risk. However, more risk-averse investors pursue long-term planning the objectives of maximizing final flexibility. This article addresses a new type problem, called periodic investment (PIPSPs), in which periodically allocate resources to products different periods. A multiobjective model for PIPSPs is first presented. With mechanism utilizing data generated during...

We consider optimal pricing and manufacturing control of a continuous-review inventory system with remanufacturing. Customer demand product return follow independent Poisson processes. is filled by serviceable product, which can be either manufactured or remanufactured from the returned product. The lead times for both remanufacturing are exponentially distributed. objective to maximize expected total discounted profit over an infinite planning horizon. characterize structural properties...

A new problem arises when an automated guided vehicle (AGV) is dispatched to visit a set of customers, which are usually located along fixed wire transmitting signal navigate the AGV. An optimal visiting sequence desired with objective minimizing total travelling distance (or time). When precedence constraints restricted on referred as traveling salesman path (TSPP-PC). Whether or not it NP-complete has no answer in literature. In this paper, we design dynamic programming for TSPP-PC, first...

This paper proposes new operational profiles which include users' total operate time, average time and frequency in addition to probability for complex combinations of functions. Also, this describes the method create test suite based on combination status by using example system. The discribes can strategy engineer charge make.

A multidepot capacitated vehicle routing problem aims to serve customers’ demands using a fleet of vehicles located in multiple depots, such that the total travel cost is minimized. We study variant this problem, k-depot split delivery (or k-DSDVRP short), for situation where each customer’s demand can be served by more than one vehicle, and number denoted [Formula: see text], fixed constant. This challenging with broad applications logistics industry, which no constant ratio approximation...

In order to track aerial target using data from radars, we improved an adaptive extended Kalman filtering algorithm based on "Current" Statistical Model. this algorithm, the interval of acceleration probability distribution is adjusted, and Singer model adopted instead Model when in low-level maneuver. According real-time estimation its change rate, self-adaption extremum achieved. Based Monte Carlo simulation, got conclusion that different maneuver situation can be tracked quickly,...