A5101988861- Vehicle Routing Optimization Methods
- Aluminum Alloys Composites Properties
- Microstructure and mechanical properties
- Robotic Path Planning Algorithms
- Electrical Contact Performance and Analysis
- Multi-Criteria Decision Making
- Mechanical stress and fatigue analysis
- Advanced materials and composites
- Facility Location and Emergency Management
- Auction Theory and Applications
- Military Defense Systems Analysis
- Adhesion, Friction, and Surface Interactions
- Neutrino Physics Research
- Additive Manufacturing Materials and Processes
- Hydrogen embrittlement and corrosion behaviors in metals
- Economic theories and models
- Metal and Thin Film Mechanics
- Advanced Welding Techniques Analysis
- Particle physics theoretical and experimental studies
- Muscle activation and electromyography studies
- Distributed Control Multi-Agent Systems
- Electronic Packaging and Soldering Technologies
- Pain Management and Treatment
- Stochastic processes and financial applications
- Electrodeposition and Electroless Coatings
Air Force Engineering University
2016-2025
Shijiazhuang Tiedao University
2024
Xi'an Jiaotong University
2002-2018
Northwest University
2009
Northwest University
2007-2008
Traveling salesman problem is a fundamental combinatorial optimization model studied in the operations research community for nearly half century, yet there surprisingly little literature that addresses uncertainty and multiple objectives it. A novel TSP variation, called uncertain multiobjective (UMTSP) with variables on arc, proposed this paper basis of theory, new solution approach named applied to obtain Pareto efficient route UMTSP. Considering nature UMTSP, ABC algorithm inserted...
The cooperative task assignment problem with time windows for heterogeneous multiple unmanned aerial vehicles is an attractive complex combinatorial optimization problem. In reality, vehicles’ fuel consumption exhibits uncertainty due to environmental factors or operational maneuvers, and accurately determining the probability distributions these uncertainties remains challenging. This paper investigates vehicle model that incorporates window constraints under uncertain environments. To...
Abstract This research focuses on the problem of multi-target detection and multi-bomb compound target fire distribution in key field military operations, explores solution based numerical calculation method. For detection, a high-precision model combining deep learning mathematical morphology optimization is constructed. An innovative strategy mixed integer programming quantum genetic algorithm proposed for allocation multi-projectile targets. Through rigorous derivation construction,...
Based on the uncertainty theory, this paper is devoted to redundancy allocation problem in repairable parallel-series systems with uncertain factors, where failure rate, repair rate and other relative coefficients involved are considered as variables. The availability of system corresponding designing cost two optimization objectives. A crisp multiobjective formulation presented basis theory solve resultant problem. For solving efficiently, a new artificial bee colony algorithm proposed...
Unmanned Aerial Vehicle (UAV) is very useful for information gathering in Intelligence, Surveillance, and Reconnaissance (ISR) mission. On the basis of uncertainty theory, main purpose this paper to study a new kind UAV ISR mission planning problem involving multiple objectives under u ncertain environment. In particular, are influenced by same uncertain factors simultaneously, that say, they correlated or dependent with each other. case, traditional multiobjective approach cannot guarantee...
Orienteering problem is gradually prevalent in the recent decade, but studies considering both uncertainty and multiobjective are still at low pace. In this paper, uncertain orienteering (UMOOP) modeled based on theory, which objective functions contain vectors. Firstly, Kataoka criterion 'worst-case-oriented' philosophy adopted, UMOOP transformed into a deterministic α-UMOOP with series of chance constrains. On basis, concept efficient solution belief degree defined. Secondly, two...
This study, investigated the powder flow field for multiangle laser cladding, bridging theoretical gaps in repair of metal parts with tilted and complex surface, specifically those are immovable nonrotatable. Initially, a computational fluid dynamics-discrete element method gas-powder coupling model was established. It can consider not only continuity characteristics gas as fluid, discreteness particles, but also mutual influence relationship. Subsequently, response surface used to explore...
This paper studies an uncertain time-dependent vehicle routing problem with soft time windows. A novel mathematical model which considers both transportation costs (total traveling distance and number of vehicles) service (early late arrivals) is developed, the equations for calculating expected total are deduced under uncertainty time-dependency. variation artificial bee colony algorithm designed to solve problem; computational results show feasibility this approach.
Multi-objective optimization problems (MOPs) constitute a vital component in the field of mathematical and operations research. The multi-objective evolutionary algorithm based on decomposition (MOEA/D) decomposes MOP into set single-objective subproblems approximates true Pareto front (PF) by optimizing these collaborative manner. However, most existing MOEA/Ds maintain population diversity limiting replacement region or scale, which come at cost decreasing convergence. To better balance...
Transcranial magnetic stimulation(TMS)is a painless, non-invasive brain nerve stimulation method, which is widely used in medicine recent years.