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Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles Research Article

Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1020-1031 doi: 10.1631/FITEE.2100559

Abstract: The strategy is based on a framework and .Second, we design an based on topology reconstruction, by which the UAV can save energy and safely passFinally, we develop LFPIO and use it to solve the Nash equilibrium.Numerical simulations are conducted, and the efficiency of LFPIO based distributed MPC is verified through

Keywords： game strategy     Unmanned aerial vehicle (UAV)     Distributed model predictive control (MPC)     Levy flight basedpigeon inspired optimization (LFPIO)     Non-singular fast terminal sliding mode observer (NFTSMO)     Obstacle    

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Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization Research

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.2000066

Abstract: In the algorithm, each pigeon learns from the better pigeon but not necessarily the global best one in

Keywords： 无人机；避障；鸽群优化；多目标社会学习鸽群优化    

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Biologically inspired model of path integration based on head direction cells and grid cells

Yang ZHOU,De-wei WU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 435-448 doi: 10.1631/FITEE.1500364

Abstract: To provide a bionic approach for the vehicle to achieve path integration, we present a biologically inspiredmodel of path integration based on the firing characteristics of HDCs and GCs.

Keywords： Head direction cells (HDCs)     Grid cells (GCs)     Path integration     Bionic navigation    

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Dolphin swarm algorithm Article

Tian-qi WU,Min YAO,Jian-hua YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 717-729 doi: 10.1631/FITEE.1500287

Abstract: distributed problem-solving strategy, swarm intelligence algorithms have been successfully applied to many optimizationAt present, there are many well-implemented algorithms, such as particle swarm optimization, geneticalgorithm, artificial bee colony algorithm, and ant colony optimization.Designing a new algorithm to seek better solutions for optimization problems is becoming increasinglyMoreover, the dolphin swarm algorithm is particularly appropriate to optimization problems, with more

Keywords： Swarm intelligence     Bio-inspired algorithm     Dolphin     Optimization    

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Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 254-260 doi: 10.1007/s11708-014-0302-1

Abstract: The application of a quantum-inspired firefly algorithm was introduced to obtain optimal power qualityIn the optimization process, a multi-objective function was used with the system observability constraint

Keywords： quantum-inspired binary firefly algorithm     topological monitor reach area     power quality    

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Creative design inspired by biological knowledge: Technologies and methods

Runhua TAN, Wei LIU, Guozhong CAO, Yuan SHI

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 1-14 doi: 10.1007/s11465-018-0511-0

Abstract: To identify the technologies and methods that can facilitate the development of biologically inspiredcreative designs, this research briefly reviews the existing biological-knowledge-based theories andmethods and examines the application of biological-knowledge-inspired designs in various fields.research thoroughly examines the four dimensions of key technologies that underlie the biologically inspired

Keywords： creative design     biologically inspired methods     key technologies    

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Ecologically Inspired Water Network Optimization of Steel Manufacture Using Constructed Wetlands as a Article

Kaili Zhang,Stephen M. Malone,Bert Bras,Marc Weissburg,Yuehong Zhao,Hongbin Cao

Engineering 2018, Volume 4, Issue 4,   Pages 567-573 doi: 10.1016/j.eng.2018.07.007

Abstract:

Traditional optimization models often lack a systems-level perspective at conception, which limitsThese principles may provide the framework to circumvent the limitations of traditional optimizationtraditionally optimize a manufacturing process by comparing the model with ecological and resource-basedThe results of the traditional optimization model indicate a 23%, 29%, and 20% decline in freshwaterHowever, our ecologically inspired optimization model provides an additional 21% and 25% decline in freshwater

Keywords： Phytoremediation     Wastewater     Steel manufacture     Optimization    

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Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 138-144 doi: 10.1007/s11465-015-0333-2

Abstract:

The reliability-based design optimization, the reliability sensitivity analysis and robust designoptimization of vehicle components.A procedure for reliability-based robust design optimization of vehicle components is proposed.Application of the method is illustrated by reliability-based robust design optimization of axle anddesign optimization of vehicle components.

Keywords： vehicle components     reliability-based design optimization     reliability-based sensitivity analysis     multi-objectiveoptimization     robust design    

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Reliability-based robust design optimization of vehicle components, Part II: Case studies

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 145-153 doi: 10.1007/s11465-015-0334-1

Abstract:

The reliability-based optimization, the reliability-based sensitivity analysis and robust design methodare employed to propose an effective approach for reliability-based robust design optimization of vehicleApplications of the method are further discussed for reliability-based robust optimization of vehicleResults have shown the proposed method is an efficient method for reliability-based robust design optimization

Keywords： vehicle axles and springs     reliability-based design optimization     reliability-based sensitivity analysis     multi-objective optimization     robust design    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-based optimization, and invasiveweed optimization for estimating the long contraction scour depth.Based on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: and scheduling, real world problems cannot be fully captured considering only a single objective for optimizationIn this paper, an optimization algorithm for solving MOIPPS problem is presented.To compare the results with other algorithms, a C-matric based method has been used.

Keywords： integrated process planning and scheduling (IPPS)     dispatching rules     priority based optimization algorithm     multi-objective optimization    

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Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 376-384 doi: 10.1007/s11465-012-0352-1

Abstract: an exhaustive evaluation, we would emphasize more on the new insight by digesting the emerging bio-inspiredAs an alternative, bio-inspired methods or materials may shed light on new innovations.

Keywords： minimally invasive surgery     surgical robotics     haptic feedback     miniaturization     bio-inspiration     bionics    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: this paper explores a decision-tree-structured neural network, that is, the deep convolutional tree-inspired

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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Massively efficient filter for topology optimization based on the splitting of tensor product structure

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0710-6

Abstract: In this work, we put forward a massively efficient filter for topology optimization (TO) utilizing thewhich the sensitivity analysis is reformulated for the nodal design variables without altering the optimization

Keywords： topology optimization     isogeometric analysis     finite element analysis     tensor product structure     sensitivity    

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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: However, the TBM control parameters set based on operator experience may not necessarily be suitableHence, a method to optimize TBM control parameters using an improved loss function-based artificial neuralnetwork (ILF-ANN) combined with quantum particle swarm optimization (QPSO) is proposed herein.Inspired by the regularization technique, a custom artificial neural network (ANN) loss function based

Keywords： tunnel boring machine     control parameter optimization     quantum particle swarm optimization     artificial    

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Title Author Date Type Operation

Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles

Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN

Journal Article

Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Journal Article

Biologically inspired model of path integration based on head direction cells and grid cells

Yang ZHOU,De-wei WU

Journal Article

Dolphin swarm algorithm

Tian-qi WU,Min YAO,Jian-hua YANG

Journal Article

Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Journal Article

Creative design inspired by biological knowledge: Technologies and methods

Runhua TAN, Wei LIU, Guozhong CAO, Yuan SHI

Journal Article

Ecologically Inspired Water Network Optimization of Steel Manufacture Using Constructed Wetlands as a

Kaili Zhang,Stephen M. Malone,Bert Bras,Marc Weissburg,Yuehong Zhao,Hongbin Cao

Journal Article

Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Journal Article

Reliability-based robust design optimization of vehicle components, Part II: Case studies

Yimin ZHANG

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Journal Article

Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Journal Article

Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Massively efficient filter for topology optimization based on the splitting of tensor product structure

Journal Article

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article