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邵炜世

邵炜世

南京师范大学

20

H指数

36

论文数

867

被引数

H指数、论文数、被引数仅支持在APP上查看和修改扫描二维码即可下载APP

邵炜世,现任职于南京师范大学,曾任职于兰州大学、南京航空航天大学等机构,个人H指数为20,累计发表论文36篇,论文总被引数累计867次,主要研究方向涵盖计算机科学、工程学、决策科学、商学,管理学和会记学等领域,在IEEE Transactions on Evolutionary Computation、Swarm and Evolutionary Computation和Knowledge-Based Systems顶级期刊累计发表13次

论文被7个高IF期刊引用过

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已发表高IF期刊论文3篇

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论文已被800+学者引用过

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  • 发表期刊
  • 资讯动态
  • 发表论文
  • 引用关系
MQL-MM:一种基于元Q学习的节能分布式模糊混合阻塞流水车间调度多目标元启发式算法

MQL-MM: A Meta-Q-Learning-Based Multi-Objective Metaheuristic for Energy-Efficient Distributed Fuzzy Hybrid Blocking Flow-Shop Scheduling Problem

陕西师范大学

2024

被引数:0

IEEE Transactions on Evolutionary Computation

Pi, Dechang

Aluminum,Distributed flow-shop scheduling with blocking,Energy consumption,Energy-efficient scheduling,Evolutionary computation,Fuzzy time,Job shop scheduling,Meta-learning,Metaheuristics,Production,Q-learning,Search problems
一种新的离散水波优化算法求解具有序列相关准备时间的阻塞流水车间调度问题

A novel discrete water wave optimization algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times

南京航空航天大学

2018

被引数:49

Swarm and Evolutionary Computation

Pi, Dechang

Flow shop with blocking,Heuristic,Metaheuristic,Scheduling,Setup times
能量和人工感知的分布式异构混合流水车间调度问题的网络模因算法

A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem

南京师范大学

2022

被引数:0

Swarm and Evolutionary Computation

Pi, Dechang

Distributed heterogeneous hybrid flow shop scheduling,Labor-awareness,Multi-objective optimization,Network memetic algorithm,Time-of-use electricity price
分布式模糊阻塞流水车间调度问题的有效启发式和元启发式

Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem

陕西师范大学

2020

被引数:37

Swarm and Evolutionary Computation

Pi, Dechang

Blocking flow-shop scheduling,Constructive heuristics,Fuzzy processing time,Iterated greedy,Multi-factory manufacturing
MRLM:一种基于元强化学习的元启发式算法求解具有学习和遗忘效应的混合流水车间调度问题

MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects

陕西师范大学

2024

被引数:0

Swarm and Evolutionary Computation

Pi, Dechang

Hybrid flow-shop scheduling,Learning effect and forgetting effect,Meta-learning,Metaheuristic,Q-learning
多目标阻塞流水车间调度问题的多目标离散入侵杂草优化

A multi-objective discrete invasive weed optimization for multi-objective blocking flow-shop scheduling problem

南京航空航天大学

2018

被引数:17

Expert Systems with Applications

Pi, Dechang

Blocking flow-shop,Invasive weed optimization,Makespan,Multi-objective optimization,Total tardiness

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