A5100610857- Advanced Multi-Objective Optimization Algorithms
- Cloud Computing and Resource Management
- Metaheuristic Optimization Algorithms Research
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Evolutionary Algorithms and Applications
- Optimal Experimental Design Methods
- Indoor and Outdoor Localization Technologies
- Data Mining Algorithms and Applications
- Machine Learning and Data Classification
- Geotechnical Engineering and Underground Structures
- Solar Radiation and Photovoltaics
- Scientific Computing and Data Management
- Sports Analytics and Performance
- Electric Vehicles and Infrastructure
- Reinforcement Learning in Robotics
- Child Development and Digital Technology
- IoT-based Smart Home Systems
- Visual Attention and Saliency Detection
- Hybrid Renewable Energy Systems
- Energy Harvesting in Wireless Networks
- Artificial Intelligence in Games
- Heat Transfer and Optimization
- Stochastic Gradient Optimization Techniques
- Evacuation and Crowd Dynamics
Xi'an Jiaotong University
2025
Taiyuan University of Science and Technology
2023-2024
Hangzhou Dianzi University
2024
Dalian University of Technology
2020
Dalian University
2020
Zhongnan University of Economics and Law
2017
Cloud platforms scheduling resources based on the demand of tasks submitted by users, is critical to cloud provider's interest and customer satisfaction. In this paper, we propose a multi-objective task algorithm an evolutionary multi-factorial optimization algorithm. First, choose execution time, cost, virtual machines load balancing as objective functions construct model. Second, multi-factor (MFO) technique applied problem, characteristics are combined with (MO-MFO) assisted task....
The interfacial adhesion between asphalt and aggregate is critical to the mechanical performance of pavements. However, dynamic visualization molecular detachment from surfaces investigation failure mechanisms remains insufficiently explored. This study combines pull-off tests dynamics simulations develop a model that studies desorption process molecules surfaces. A multivariate regression employed quantitatively analyze relationships among force, energy, oxide composition, temperature. main...
Abstract The transient characteristic of the disturbance from impeller, which is largely influenced by stagger angle IGV (inlet guide vane), significantly determines performance vaned-diffuser downstream. Thus, understanding these phenomena critical to avoid degradation diffuser including dreadful rotating stall. paper adopts both experimental and numerical methods investigate significant change characteristics under large pre-swirl effects. whole process stall, origins vortex at rear...
In edge computing (EC), when the server (ES) is processing tasks delivered by mobile devices (MDs), MDs move outside coverage of ES, where task migration required to ensure service continuity. Most current research on ignores inter-task dependencies and uncertain environments, it focuses mainly scenarios have a one-to-one or many-to-one relationship with ESs. Aiming at problem workflow multi-MDs multi-ESs in this paper proposes an interval many-objective optimized environments (I-MaOWMUE)...
Scheduling user-submitted cloud tasks to the appropriate virtual machine (VM) in computing is critical for providers.However, as demand resources from user continues grow, current evolutionary algorithms (EAs) cannot satisfy optimal solution of large-scale task scheduling problems.In this paper, we first construct a largescale multi-objective problem considering time and cost functions.Second, optimization algorithm based on multi-factor (MFO) proposed solve established problem.This solves...
Summary Given the escalating magnitude and intricacy of software systems, measurement data often contains irrelevant redundant features, resulting in significant resource storage requirements for defect prediction (SDP). Feature selection (FS) has a vital impact on initial preparation phase SDP. Nonetheless, existing FS methods suffer from issues such as insignificant dimensionality reduction, low accuracy classifying chosen optimal feature sets, neglect complex interactions dependencies...
Summary Charging path planning in wireless sensor networks (WSNs) refers to designing an efficient charging for nodes the network. However, most schemes mainly consider of paths and pay little attention impact uncertainties, such as road conditions environment on paths, well ignoring problem new need charging. Road directly affect energy consumption vehicles (WCVs) during traveling. To address aforementioned challenges, this article proposes interval many‐objective scheme model, WCV is...
Constrained many-objective optimization problems (CMaOPs) have gradually emerged in various areas and are significant for this field. These often involve intricate Pareto frontiers (PFs) that both refined uneven, thereby making their resolution difficult challenging. Traditional algorithms tend to over prioritize convergence, leading premature convergence of the decision variables, which greatly reduces possibility finding constrained (CPFs). This results poor overall performance. To tackle...
The multi-cloud environment (MCE) tasks can be classified as CPU-intensive or I/O-intensive. Using a single model to handle two often results in system performance issues due mismatches between task requirements and resource demands, caused by differing data characteristics. In this paper, multi-task multi-objective optimization (MTMO) is constructed. A evolutionary algorithm with quadratic crossover used simultaneously schedule types of tasks. This improves scheduling efficiency. First,...
A deeper game-tree search can yield a higher decision quality in heuristic minimax algorithm. However, exceptions occur as result of pathological nodes, which are considered to exist all game trees and cause search, resulting worse play. To reduce the impact nodes on quality, we propose an iterative optimal (IOM) algorithm by optimizing backup rule classic The main idea is that calculating state values intermediate involves not only static evaluation function involved but also into future,...