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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
Keywords： 群智能；灰狼优化算法；动态灰狼优化算法；优化实验
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
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
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
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
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
Keywords： Distributed optimization Matrix-valued optimization Stochastic optimization Penalty method Gossip model
Zhang Lianying,Xu Chang,Wu Qiong
Strategic Study of CAE 2012, Volume 14, Issue 11, Pages 107-112
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
Survey on Particle Swarm Optimization Algorithm
Yang Wei,Li Chiqiang
Strategic Study of CAE 2004, Volume 6, Issue 5, Pages 87-94
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
Engineering evolution vs industrial framework optimization
Yin Ruiyu
Strategic Study of CAE 2012, Volume 14, Issue 3, Pages 8-14
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 macrounit. 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
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
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
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
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
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
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
Optimum Design for Airliner Environmental Control System
Fang Lin,Wang Jun
Strategic Study of CAE 2006, Volume 8, Issue 1, Pages 77-80
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
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
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
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
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
Image meshing via hierarchical optimization
Hao XIE,Ruo-feng TONG
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1, Pages 32-40 doi: 10.1631/FITEE.1500171
Vector graphic, as a kind of geometric representation of raster images, has many advantages, e.g., definition independence and editing facility. A popular way to convert raster images into vector graphics is image meshing, the aim of which is to find a mesh to represent an image as faithfully as possible. For traditional meshing algorithms, the crux of the problem resides mainly in the high non-linearity and non-smoothness of the objective, which makes it difficult to find a desirable optimal solution. To ameliorate this situation, we present a hierarchical optimization algorithm solving the problem from coarser levels to finer ones, providing initialization for each level with its coarser ascent. To further simplify the problem, the original non-convex problem is converted to a linear least squares one, and thus becomes convex, which makes the problem much easier to solve. A dictionary learning framework is used to combine geometry and topology elegantly. Then an alternating scheme is employed to solve both parts. Experiments show that our algorithm runs fast and achieves better results than existing ones for most images.
Keywords： Image meshing Hierarchical optimization Convexification
Smart and Optimal Manufacturing for Process Industry
Chai Tianyou, Ding Jinliang
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 51-58 doi: 10.15302/J-SSCAE-2018.04.009
Based on the in-depth analysis of features of the process industry, the state of art of its operation control, and the global development of intelligent manufacturing, a new mode of intelligent manufacturing for the process industry, i.e., smart and optimal manufacturing, is proposed. After analysis of the development situation of the existing three-tier architecture (consisting of enterprise resource planning, manufacturing execution system, and process control system) and the control and management informatization system adopted by process enterprises, a smart and optimal manufacturing framework and prospects for future process enterprises are presented, followed by the analysis of key generic technologies that are critical for the successful deployment of intelligent manufacturing in the process industry. The fundamental challenges and open scientific problems to be addressed jointly by the communities of automation, computer and communication, and data science are also presented. Moreover, suggestions on the future development and deployment of smart and optimal manufacturing in the process industry are offered, include emphasizing the strategic position of the process industry, actualizing the strategic planning and top-level design.
Keywords： process industry smart and optimal manufacturing development vision scientific challenges
Title Author Date Type Operation
Improved dynamic grey wolf optimizer
Xiaoqing Zhang, Yuye Zhang, Zhengfeng Ming,249140543@qq.com
Journal Article
Intelligent Layout Optimization Systems of Truss Structure
Li Hao,Hu Yunchang,Cao Hongfeng
Journal Article
Study on Multidisciplinary Design Optimization of Aeroengine
Yin Zeyong,Mi Dong,Wu Liqiang,Xiao Gensheng,Liu Feichun,Li Lijun
Journal Article
A review of the multiobjective tradeoff research of construction projects based on intelligent optimization algorithm
Zhang Lianying,Xu Chang,Wu Qiong
Journal Article
Research on Simulating Optimization of Long-distance Complex Water Conveyance Systems
Zhong Denghua,Liu Jianmin,Xiong Kaizhi
Journal Article
Recent Progress on Data-Based Optimization for Mineral Processing Plants
Jinliang Ding,Cuie Yang,Tianyou Chai
Journal Article
A Pareto Strength SCE-UA Algorithm for ReservoirOptimization Operation
Lin Jianyi,Cheng Chuntian,Gu Yanping,Wu Xinyu
Journal Article
Application prospect of PSO in hydrology
Dong Qianjin,Cao Guangjing,Wang Xianjia,Dai Huichao,Zhao Yunfa
Journal Article
A Realization Method for Transforming a Topology Optimization Design into Additive Manufacturing Structures
Shutian Liu, Quhao Li, Junhuan Liu, Wenjiong Chen, Yongcun Zhang
Journal Article
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