Resource Type

Journal Article 289

Year

2024 2

2023 29

2022 29

2021 29

2020 37

2019 28

2018 30

2017 18

2016 19

2015 11

2014 4

2013 4

2012 2

2011 2

2010 10

2009 1

2008 3

2007 3

2006 3

2005 3

open ︾

Keywords

Artificial intelligence 37

artificial intelligence 36

intelligence 8

Deep learning 7

Machine learning 5

Distributed optimization 4

machine learning 4

Big data 3

artificial intelligence (AI) 3

Artificial general intelligence 2

Artificial intelligence (AI) 2

Artificial intelligence 2.0 2

Causality 2

Computer vision 2

Crowd intelligence 2

Crowdsourcing 2

Data science 2

Industry 4.0 2

Intelligent manufacturing 2

open ︾

Search scope:

排序: Display mode:

modeling approach A preliminary version was presented at the 12th International Conference on DistributedComputing and Artificial Intelligence, June 3–5, 2015, Spain

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 338-347 doi: 10.1631/FITEE.1500359

Abstract: We present an extension of the resource-constrained multi-product scheduling problem for an automated guided vehicle (AGV) served flow shop, where multiple material handling transport modes provide movement of work pieces between machining centers in the multimodal transportation network (MTN). The multimodal processes behind the multi-product production flow executed in an MTN can be seen as processes realized by using various local periodically functioning processes. The considered network of repetitively acting local transportation modes encompassing MTN’s structure provides a framework for multimodal processes scheduling treated in terms of optimization of the AGVs fleet scheduling problem subject to fuzzy operation time constraints. In the considered case, both production takt and operation execution time are described by imprecise data. The aim of the paper is to present a constraint propagation (CP) driven approach to multi-robot task allocation providing a prompt service to a set of routine queries stated in both direct and reverse way. Illustrative examples taking into account an uncertain specification of robots and workers operation time are provided.

Keywords: Automated guided vehicles (AGVs)     Scheduling     Multimodal process     Fuzzy constraints     Optimization    

Strategies and Principles of Distributed Machine Learning on Big Data Review

Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei

Engineering 2016, Volume 2, Issue 2,   Pages 179-195 doi: 10.1016/J.ENG.2016.02.008

Abstract: In order to run ML algorithms at such scales, on a distributed cluster with tens to thousands of machineskey questions that traditionally receive little attention in ML research: How can an ML program be distributedcases to reveal how we have harnessed these principles to design and develop both high-performance distributed

Keywords: Machine learning     Artificial intelligence big data     Big model     Distributed systems     Principles     Theory     Data-parallelism    

A Grid as Smart as the Internet Article

Yanli Liu, Yixin Yu, Ning Gao, Felix Wu

Engineering 2020, Volume 6, Issue 7,   Pages 778-788 doi: 10.1016/j.eng.2019.11.015

Abstract: The internet is built upon a layered architecture that facilitates technology innovations, and its intelligenceis distributed throughout a hierarchy of networks.A new distributed paradigm can be realized by distributing this responsibility to sub-grids and requiring

Keywords: Distributed intelligence     Electric grid     Internet     Renewables    

Theory of Collective Intelligence Evolution and Its Applications in Intelligent Robots

Qi Xiaoya, Liu Chuang, Fu Chen, Gan Zhongxue

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 101-111 doi: 10.15302/J-SSCAE-2018.04.017

Abstract:

Collective intelligence (CI) is widely studied in the past few decadesThus we propose a CI evolution theory, as a general framework towards artificial general intelligenceof deep learning, reinforcement learning, and CI algorithm, CI evolution theory enables individual intelligence

Keywords: collective intelligence     emergence     evolution     positive feedback     ant colony optimization     Monte-Carlotree search     distributed AI cloud-terminal platform     intelligent robot    

Organizational dynamics in adaptive distributed search processes: effects on performance and the role

Friederike WALL

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 283-295 doi: 10.1631/FITEE.1500306

Abstract: In this paper, the effects of altering the organizational setting of distributed adaptive search processesResults suggest that inducing organizational dynamics has the potential to increase the effectiveness of distributed

Keywords: Agent-based simulation     Complexity     Coordination     Distributed search     NK landscapes    

Data-driven distribution network topology identification considering correlated generation power of distributed

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 121-129 doi: 10.1007/s11708-021-0780-x

Abstract: This paper proposes a data-driven topology identification method for distribution systems with distributed

Keywords: power distribution network     data-driven     topology identification     distributed energy resource     maximal    

Analysis of the current situation of environmental policy of China and establishment of distributed environmental

Chaoyang FU,Wangfeng LI

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 2,   Pages 310-316 doi: 10.1007/s11783-014-0658-9

Abstract: By introduction of distributed management tools into the implementation of environmental policies, market-oriented

Keywords: environmental policy     distributed environment policy     distributed parameter model     lumped parameter model    

An application of game theory in distributed collaborative decision making

Angran XIAO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 85-101 doi: 10.1007/s11465-019-0523-4

Abstract: In a distributed product realization environment, new paradigms and accompanying software systems are

Keywords: collaboration     distributed product realization     game theory     digital interface    

Significant potential of Solid Oxide Fuel Cell systems for distributed power generation and carbon neutrality

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 879-882 doi: 10.1007/s11708-022-0850-8

Abstract: . {{custom_ra.content}} . . . {{article.highlightEn}} . . . {{article.abstractEn}} . . . {{article.authorSummayEn}} . . . . .

Economic Analysis of Residential Distributed Solar Photovoltaic

Xi Luo,Jia-ping Liu

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 125-130 doi: 10.15302/J-FEM-2015031

Abstract: Under the huge challenges of global energy conservation, emission reduction and energy security, distributedloan interest rate and loan fraction are used as influence factors to analyze the economic benefits of distributedThe result demonstrates that government incentives help to increase the profitability of distributed

Keywords: distributed solar photovoltaic     internal rate of return     price ladder     government incentives    

Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product

Shasha ZENG, Weiping PENG, Tiaoyu LEI

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 12-23 doi: 10.1007/s11465-019-0555-9

Abstract: The distributed parameterized intelligent product platform (DPIPP) contains many agents of a productThese distributed agents communicate, coordinate, and cooperate using their knowledge and skills and

Keywords: distributed parameterized intelligent product platform     generalized module     isomorphism analysis     product    

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence

Keywords: artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

Distributed energy management for networked microgrids in a three-phase unbalanced distribution network

Frontiers in Energy 2023, Volume 17, Issue 3,   Pages 446-446 doi: 10.1007/s11708-022-0851-7

Abstract: Owing to increased penetration of three-phase and single-phase microgrids, distributed energy resourcesExisting literature on distributed energy management for networked microgrids generally neglects theTo solve this issue, this study sought to propose distributed energy management based on a three-phaseThe price signals were then updated according to the generation-load mismatch at each node and distributedThis distributed energy management method was further demonstrated through various case studies on a

Keywords: distributed optimization     energy management     networked microgrids     three-phase distribution network     distributed energy resources    

Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differential

Frontiers in Energy   Pages 782-795 doi: 10.1007/s11708-023-0905-8

Abstract: China is vigorously promoting the “whole county promotion” of distributed photovoltaics (DPVs).To address the problems, this paper proposes a cluster voltage control method for distributed photovoltaic

Keywords: distributed photovoltaics (DPVs)     cluster partitioning     improved differential evolution algorithm     voltagecontrol     consumption capacity of distributed photovoltaics    

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 518-528 doi: 10.1007/s11708-018-0594-7

Abstract: multi-objective optimization model is established for the investment plan and operation management of a hybrid distributed

Keywords: multi-objective optimization     hybrid distributed energy system     non-dominated sorting generic algorithm    

Title Author Date Type Operation

modeling approach A preliminary version was presented at the 12th International Conference on DistributedComputing and Artificial Intelligence, June 3–5, 2015, Spain

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Journal Article

Strategies and Principles of Distributed Machine Learning on Big Data

Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei

Journal Article

A Grid as Smart as the Internet

Yanli Liu, Yixin Yu, Ning Gao, Felix Wu

Journal Article

Theory of Collective Intelligence Evolution and Its Applications in Intelligent Robots

Qi Xiaoya, Liu Chuang, Fu Chen, Gan Zhongxue

Journal Article

Organizational dynamics in adaptive distributed search processes: effects on performance and the role

Friederike WALL

Journal Article

Data-driven distribution network topology identification considering correlated generation power of distributed

Journal Article

Analysis of the current situation of environmental policy of China and establishment of distributed environmental

Chaoyang FU,Wangfeng LI

Journal Article

An application of game theory in distributed collaborative decision making

Angran XIAO

Journal Article

Significant potential of Solid Oxide Fuel Cell systems for distributed power generation and carbon neutrality

Journal Article

Economic Analysis of Residential Distributed Solar Photovoltaic

Xi Luo,Jia-ping Liu

Journal Article

Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product

Shasha ZENG, Weiping PENG, Tiaoyu LEI

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article

Distributed energy management for networked microgrids in a three-phase unbalanced distribution network

Journal Article

Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differential

Journal Article

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Journal Article