A5038779185- Recommender Systems and Techniques
- Advanced Multi-Objective Optimization Algorithms
- Industrial Automation and Control Systems
- Scheduling and Optimization Algorithms
- Impact of Technology on Adolescents
- Online Learning and Analytics
- Advanced Manufacturing and Logistics Optimization
- Advanced Bandit Algorithms Research
Anhui University
2024
Beijing Jiaotong University
2016
University of Novi Sad
2016
University of Maribor
2016
Multi-objective evolutionary algorithms (MOEAs) have been proved to be competitive in recommender systems. As the application scenarios of systems become increasingly complex, number objectives considered increases. However, most existing multi-objective recommendation lead increased environmental selection pressure as To tackle issue, this paper, we propose a multi-population based algorithm named MP-MORS for many-objective recommendations, where two subpopulations and one major population...
This paper presents an effective use of hybrid metaheuristics algorithm for solving Job Shop Scheduling Problem (JSSP).Integration three algorithms: Shuffled Frog Leaping Algorithm (SFLA), Intelligent Water Drops (IWD) and Path Relinking (PR) were put together to solve JSSP.First, simulation model was developed tested on the test data Traveller Salesman (TSP).Second, real world production line problem Minimum Needed Workers (MNW) at line.The enables individual mentioned algorithms...