A5002438391- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Scheduling and Optimization Algorithms
- Phase Change Materials Research
- Evolutionary Algorithms and Applications
- Advanced Manufacturing and Logistics Optimization
- Aluminum Alloy Microstructure Properties
- Simulation and Modeling Applications
- Advanced Algorithms and Applications
- Optimization and Packing Problems
- Metallurgy and Material Forming
- Advanced Numerical Analysis Techniques
- Manufacturing Process and Optimization
- Industrial Technology and Control Systems
- Assembly Line Balancing Optimization
- Microstructure and Mechanical Properties of Steels
- Polymer composites and self-healing
- Electronic Packaging and Soldering Technologies
- Process Optimization and Integration
- Metal Forming Simulation Techniques
- Artificial Immune Systems Applications
- Advanced Surface Polishing Techniques
- Advanced Machining and Optimization Techniques
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
Fuzhou University
2013-2024
Nanchang University
2023-2024
Sun Yat-sen University
2024
Shanghai University of Engineering Science
2021
Shanghai Laser Technology Institute
2021
Xiamen University of Technology
2019
Hefei University of Technology
2008-2012
In recognition of their excellent capacity for regulating thermal energy storage and release, phase change materials (PCMs) have been rediscovered received growing significance in advanced solar battery management (BTM). Nevertheless, insufficient conductivity, poor shape stabilization, high rigidity hinder application BTM systems. Herein, we reported a novel stable ordinary temperature flexible material (FPCM) basis paraffin wax (PW), polyolefin elastomer (POE), expanded graphite (EG),...
Abstract Drilling path optimization is one of the key problems in holes-machining. This paper presents a new approach to solve drilling problem belonging discrete space, based on particle swarm (PSO) algorithm. Since standard PSO algorithm not guaranteed be global convergent or local convergent, mathematical model, improved by adopting method generate stop evolution once again obtain ability convergence solution. Also, operators are proposed establishing Order Exchange Unit (OEU) and List...
To solve many-objective flow-shop scheduling problems (FSP), a genetic algorithm based on the relative entropy of fuzzy sets (REFS_GA) is proposed. A mathematical model FSP built, which involves four criterions FSP. In REFS_GA, Pareto front mapped to set, and relational coefficient used measure similarity between solutions ideal solution. The as fitness (GA) guide evolution. performance REFS_GA evaluated through compared with GA g-dominance (gGA), random weight (rwGA) third version...
Permutation flow shop scheduling problems (PFSPs) with many objectives are highly important in operations research. They have attracted substantial attention from enterprise operators and researchers recent years. In this article, a membership function is used to connect the values of many-objective optimization fuzzy degree. An approach for mapping sets presented. Thus, relative entropy (FRE) can be employed PFSPs. A PFSP model four objectives, namely, makespan, total tardiness, inventory...
In the flexible job shop scheduling problem (FJSP), immediate predecessor operations have an explicit impact on results, and are often ignored. To analyze influence of machine tool manufacturing workshops, four forms with consideration uncertain transportation preparation time defined. Then, integrated into FJSP, a multiobjective FJSP is constructed. An improved optimal foraging algorithm (OFA) Pythagorean fuzzy set (PFS) combined to establish optimization algorithm, named PFSOFA. This then...
Drilling path optimization (DPO) is a crucial issue in current manufacturing systems. In this paper, an algorithm named the optimal foraging (OFA) presented based on theory to solve sequencing problem when many holes must be drilled. The objective of study identify sequence drilling operations using OFA minimize total processing cost. Since considered discrete problem, five operators that can address integer-encoding vector are built for OFA; thus, version presented. performance evaluated...
A new mechanism,namely a combination of curve matching method based on the discrete Fréchet distance and evolutionary algorithms,is proposed to solve pick-and-place sequence optimisation problems as multi-objective problem. The essence mechanism is accomplish comparison objective vectors with method. vector mapped into array points binary mapping operator utilised measure similarity between reference points. genetic algorithm (FGA) proposed. To test mechanism, together FGA, three other...
The TaC/TiC/Stellite X-40 Co-based composite coatings with different contents were successfully cladded on a Cr-Zr-Cu alloy substrate. microstructure, wear and corrosion resistance of the investigated by means X-ray diffraction (XRD), optical microscope (OM), energy dispersive spectrometer (EDS), scanning electron (SEM), sliding test, as well test in 3.5% NaCl solution. results showed that Ta Ti atoms easily form Co3Ta Co3Ti hard phases Co to increasing hardness coating. Compared substrate,...
As one of the most fundamental operations in mechanical production, hole-making plays a crucial role. However, existing sequence optimization models are not suitable for workshops with variable production parameters. To address this issue, new model, named multi-objective multi-tool precedence constraints (MO-MTpcHSO), is proposed paper. The model has two objectives: spindle travel distance and tool switching time. solve MO-MTpcHSO, customized Q-learning based genetic algorithm (QLGA)...