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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: We propose multi-objective social learning (MSLPIO) and apply it to for formation. In the algorithm, each pigeon learns from the better pigeon but not necessarily the global best one in the update process. A social learning factor is added to the map and compass operator and the landmark operator. In addition, a dimension-dependent parameter setting method is adopted to improve the blindness of parameter setting. We simulate the flight process of five UAVs in a complex obstacle environment. Results verify the effectiveness of the proposed method. MSLPIO has better convergence performance compared with the improved multi-objective and the improved non-dominated sorting genetic algorithm.

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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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: We investigate a for formations with external disturbances and obstacles. The strategy is based on a framework and . First, we propose a to estimate the influence of a disturbance, and prove that the observer converges in fixed time using a Lyapunov function. Second, we design an based on topology reconstruction, by which the UAV can save energy and safely pass obstacles. Third, we establish a distributed MPC framework where each UAV exchanges messages only with its neighbors. Further, the cost function of each UAV is designed, by which the UAV formation problem is transformed into a game problem. Finally, 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 comparative simulations.

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

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Improved dynamic grey wolf optimizer Research Articles

Xiaoqing Zhang, Yuye Zhang, Zhengfeng Ming,249140543@qq.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6, Pages 887-890 doi: 10.1631/FITEE.2000191

Abstract: In the standard (GWO), the search wolf must wait to update its current position until the comparison between the other search wolves and the three leader wolves is completed. During this waiting period, the standard GWO is seen as the static GWO. To get rid of this waiting period, two dynamic GWO algorithms are proposed: the first dynamic (DGWO1) and the second dynamic (DGWO2). In the dynamic GWO algorithms, the current search wolf does not need to wait for the comparisons between all other search wolves and the leading wolves, and its position can be updated after completing the comparison between itself or the previous search wolf and the leading wolves. The position of the search wolf is promptly updated in the dynamic GWO algorithms, which increases the iterative convergence rate. Based on the structure of the dynamic GWOs, the performance of the other improved GWOs is examined, verifying that for the same improved algorithm, the one based on dynamic GWO has better performance than that based on static GWO in most instances.

Keywords：群智能；灰狼优化算法；动态灰狼优化算法；优化实验

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Intelligent Layout Optimization Systems of Truss Structure

Li Hao,Hu Yunchang,Cao Hongfeng

Strategic Study of CAE 2003, Volume 5, Issue 2, Pages 75-79

Abstract:

Intelligent layout optimization system of truss structures, based on fuzzy, neural network, and chaos, is made of five modules. A new layout optimization model is formed. This system takes on intelligent and adaptive. It can complete the whole optimization programming including automatically creating of ground structure of trusses and layout optimization. It is showed by an example that this system is stable and the final layout optimization result is reliable.

Keywords： layout optimization intelligent optimization systems adaptive

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Study on Multidisciplinary Design Optimization of Aeroengine

Yin Zeyong,Mi Dong,Wu Liqiang,Xiao Gensheng,Liu Feichun,Li Lijun

Strategic Study of CAE 2007, Volume 9, Issue 6, Pages 1-10

Abstract:

Multidisciplinary design optimization (MDO) is regarded as the most hopeful upgrade of current methodology for complex system design. In order to overcome the difficulties in advanced aero-engine design, such as complex coupling relations and serious conflicts between different disciplines, the research, development and application of key technologies of MDO have been carried out in three phases: part design, component design and whole engine preliminary design. And a MDO-based integrative aero-engine design method is presented. Five examples of engineering applications are given to demonstrate that the proposed method can improve aero-engine design ability very much comparing with the traditional method, and is prospective to be applied widely to engineering field.

Keywords： highaero-engine design multidisciplinary design optimization part optimization componentoptimization whole engine optimization\ speed railway in China innovation technological system engineering practice

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Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1239-1252 doi: 10.1631/FITEE.2200381

Abstract: In this paper, we address matrix-valued distributed stochastic optimization with inequality and equality constraints, where the objective function is a sum of multiple matrix-valued functions with stochastic variables and the considered problems are solved in a distributed manner. A penalty method is derived to deal with the constraints, and a selection principle is proposed for choosing feasible penalty functions and penalty gains. A distributed optimization algorithm based on the gossip model is developed for solving the stochastic optimization problem, and its convergence to the optimal solution is analyzed rigorously. Two numerical examples are given to demonstrate the viability of the main results.

Keywords： Distributed optimization Matrix-valued optimization Stochastic optimization Penalty method Gossip model

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A review of the multiobjective tradeoff research of construction projects based on intelligent optimization algorithm

Zhang Lianying,Xu Chang,Wu Qiong

Strategic Study of CAE 2012, Volume 14, Issue 11, Pages 107-112

Abstract:

The optimal equilibrium between the multiple objectives of construction projects is a significant aspect of project management research, which has seen rapid development in recent years, gaining a bunch of fruitful achievements. In this paper, a review is provided for the multiobjective tradeoff research of construction projects based on literature review. Models under deterministic conditions and nondeterministic conditions are investigated and summarized. Some suggestions on the possible direction for future research are included considering the algorithms adopted in the problem solution. This paper aims at providing a review of the achievements in this area so far and keeping track of the ongoing research topics so as to give certain indications for research that follows.

Keywords： construction project project management multi-objective optimization intelligent optimization algorithm

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Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 5, Pages 87-94

Abstract:

Particle swarm optimization (PSO) is a new optimization technique originating from artificial life and evolutionary computation. The algorithm completes the optimization through following the personal best solution of each particle and the global best value of the whole swarm. PSO can be implemented with ease and few parameters need to be tuned. It has been successfully applied in many areas. In this paper, the basic principles of PSO are introduced at length, and various improvements and applications of PSO are also presented. Finally, some future research directions about PSO are proposed.

Keywords： swarm intelligence evolutionary algorithm particle swarm optimization

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Engineering evolution vs industrial framework optimization

Yin Ruiyu

Strategic Study of CAE 2012, Volume 14, Issue 3, Pages 8-14

Abstract:

Engineering is a human activity to construct and create artificial entity in a well-organized, planned and purposeful way by means of various resources and basic economic elements. Engineering is the direct productivity .Engineering is a dynamic system which is combined and integrated with related technology groups and a crop of basic economic elements under certain natural and social conditions. Technology integration system embodies the specified frame and dynamic operating ways formed by the dynamic and ordered integrating process of related but varied heterogeneous technology groups. This system must be allocated properly to and has a harmonious interaction with basic economic elements under certain natural and social conditions, such as resource, labor, land, capital, market and environment, and so on. They will form an engineering system and produce the specific and desired function and valued by being designed, constructed and operated. Engineering has the close relation but some difference with science, technology and industry. From the point of economy and its structure, engineering is the micro-unit, industry is the meso-unit, and industrial framework which is made of different industries is the macrounit. Engineering is evolving constantly. The engineering evolution propels forward the industrial development and the adjustments of industrial framework, even if the appearance of industrial revolution.

Keywords： engineering evolution industrial framework optimization

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Research on Simulating Optimization of Long-distance Complex Water Conveyance Systems

Zhong Denghua,Liu Jianmin,Xiong Kaizhi

Strategic Study of CAE 2005, Volume 7, Issue 10, Pages 60-63

Abstract:

Operating optimization of long-distance water conveyance systems is always intractable for their complexity. In this paper, self-optimization model is introduced to study the problem, which is based on the digital simulation models. Through the on-line optimization tache in it, the decision input can be optimized according to the feedback information of simulating output, so the system can be optimized automatically. With the MATLAB software, simulating optimization of an engineering instance has been achieved, which gives a new way for the research of operating optimization of long-distance complex water conveyance systems.

Keywords： water conveyance system simulating optimization self-optimization response surface method

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Recent Progress on Data-Based Optimization for Mineral Processing Plants

Jinliang Ding,Cuie Yang,Tianyou Chai

Engineering 2017, Volume 3, Issue 2, Pages 183-187 doi: 10.1016/J.ENG.2017.02.015

Abstract:

In the globalized market environment, increasingly significant economic and environmental factors within complex industrial plants impose importance on the optimization of global production indices; such optimization includes improvements in production efficiency, product quality, and yield, along with reductions of energy and resource usage. This paper briefly overviews recent progress in data-driven hybrid intelligence optimization methods and technologies in improving the performance of global production indices in mineral processing. First, we provide the problem description. Next, we summarize recent progress in data-based optimization for mineral processing plants. This optimization consists of four layers: optimization of the target values for monthly global production indices, optimization of the target values for daily global production indices, optimization of the target values for operational indices, and automation systems for unit processes. We briefly overview recent progress in each of the different layers. Finally, we point out opportunities for future works in data-based optimization for mineral processing plants.

Keywords： Data-based optimization Plant-wide global optimization Mineral processing Survey

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A Pareto Strength SCE-UA Algorithm for ReservoirOptimization Operation

Lin Jianyi,Cheng Chuntian,Gu Yanping,Wu Xinyu

Strategic Study of CAE 2007, Volume 9, Issue 10, Pages 80-82

Abstract:

In this paper, the Pareto strength SCE-UA algorithm (PSSCE) is presented to handle the reservoir optimization operation problem. The approach treats the constrained optimization as a two-objective optimization: one objective is the original objective function; the other is the degree of constraint violation. SCE-UA algorithm is applied to the two-objective optimization by using the individual's comparing procedure and the population ranking procedure which are respectively based on the Pareto dominance relationship and the Pareto strength definition. The new approach is more general, effective and robust.

Keywords： reservoir optimal operation constrained optimization Pareto dominate Pareto strength SCE-UA algorithm

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Optimum Design for Airliner Environmental Control System

Fang Lin,Wang Jun

Strategic Study of CAE 2006, Volume 8, Issue 1, Pages 77-80

Abstract:

In order to choose the most economical and efficient airliner environmental control system, several types of air cooling systems for the modern airliners were optimized and compared. The optimized mathematical models of two wheels system with low pressure water separation, three wheels system with high pressure water separation and four wheels system with high pressure water separation were established respectively. The fuel oil loss for airliner environmental control system is taken as the objective function. Generalized multiplier combined with simplex method is used to seek the optimum solution. The optimized results can be used as the theoretic foundation for the design and research of airliner environment control system.

Keywords： airliner environmental control optimum design

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Application prospect of PSO in hydrology

Dong Qianjin,Cao Guangjing,Wang Xianjia,Dai Huichao,Zhao Yunfa

Strategic Study of CAE 2010, Volume 12, Issue 1, Pages 81-85

Abstract:

The basic algorithm and its flow are introduced at first, then its application to scheduling operation of reservoir, economic operation of hydropower and parameter calibration in hydrology field is discussed, the suggestion for future study is pointed out that should strengthen the study of adaptive mechanism and convergence performance in PSO, compare and combine with other technology, broaden the region of application to hydrology which may supply a new method for solving much optimal problem in hydrology field.

Keywords： hydrology science particle swarm optimization scheduling operation economical operation

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A Realization Method for Transforming a Topology Optimization Design into Additive Manufacturing Structures Article

Shutian Liu, Quhao Li, Junhuan Liu, Wenjiong Chen, Yongcun Zhang

Engineering 2018, Volume 4, Issue 2, Pages 277-285 doi: 10.1016/j.eng.2017.09.002

Abstract:

Topology optimization is a powerful design approach that is used to determine the optimal topology in order to obtain the desired functional performance. It has been widely used to improve structural performance in engineering fields such as in the aerospace and automobile industries. However, some gaps still exist between topology optimization and engineering application, which significantly hinder the application of topology optimization. One of these gaps is how to interpret topology results, especially those obtained using the density framework, into parametric computer-aided design (CAD) models that are ready for subsequent shape optimization and manufacturing. In this paper, a new method for interpreting topology optimization results into stereolithography (STL) models and parametric CAD models is proposed. First, we extract the skeleton of the topology optimization result in order to ensure shape preservation and use a filtering method to ensure characteristics preservation. After this process, the distribution of the nodes in the boundary of the topology optimization result is denser, which will benefit the subsequent curve fitting. Using the curvature and the derivative of curvature of the uniform B-spline curve, an adaptive B-spline fitting method is proposed in order to obtain a parametric CAD model with the fewest control points meeting the requirement of the fitting error. A case study is presented to provide a detailed description of the proposed method, and two more examples are shown to demonstrate the validity and versatility of the proposed method.

Keywords： Topology optimization Additive manufacturing Characteristics preservation Adaptive fitting Shape optimization