A Comparative Study of Metaheuristic Optimization Algorithms for Solving Real-World Engineering Design Problems

Real-world engineering design problems with complex objective functions under some constraints are relatively difficult problems to solve.Such design problems are widely experienced in many engineering fields,such as industry,automotive,construction,machinery,and interdisciplinary research.However,there are established optimization techniques that have shown effectiveness in addressing these types of issues.This research paper gives a comparative study of the implementation of seventeen new metaheuristic methods in order to optimize twelve distinct engineering design issues.The algorithms used in the study are listed as:transient search optimization(TSO),equilibrium optimizer(EO),grey wolf optimizer(GWO),moth-flame optimization(MFO),whale optimization algorithm(WOA),slimemould algorithm(SMA),harris hawks optimization(HHO),chimp optimization algorithm(COA),coot optimization algorithm(COOT),multi-verse optimization(MVO),arithmetic optimization algorithm(AOA),aquila optimizer(AO),sine cosine algorithm(SCA),smell agent optimization(SAO),and seagull optimization algorithm(SOA),pelican optimization algorithm(POA),and coati optimization algorithm(CA).As far as we know,there is no comparative analysis of recent and popular methods against the concrete conditions of real-world engineering problems.Hence,a remarkable research guideline is presented in the study for researchersworking in the fields of engineering and artificial intelligence,especiallywhen applying the optimization methods that have emerged recently.Future research can rely on this work for a literature search on comparisons of metaheuristic optimization methods in real-world problems under similar conditions.

Environmental Design in the Context of Chinese Regional Culture

Environmental design plays a critical role in shaping human habitats.In the context of increasing homogenization of environmental aesthetics,the pervasive influence of the information age,and challenges in industry growth,the question arises:where does environmental design stand?This article delves into the development of the environmental design industry in view of China’s diverse regional cultural contexts.It analyzes the concepts and interconnections between China’s regional cultures and environmental design,identifies current issues,and proposes strategies for integrating China’s regional cultures into environmental design practices.This exploration provides valuable insights into the evolution of environmental design within the framework of China’s distinct regional cultural characteristics in the contemporary era.

COLLABORATIVE DESIGN OF MULTIPHYSICS PROBLEMS

Collaborative design is recommended to solve multiphysics problems （MPPS）. Firstly, mathematical model of MPPS is constructed and solved by a proposed partitioned method, analysis of which suggests that collaborative design be feasible to solve MPPS. As the key technology of col-laborative design of MPPS, a task collaboration algorithm is then proposed. To develop the applica-tion framework of collaborative design, applied unified process（AUP） is proposed based on rational unified process（RUP）. Then AUP is used to develop the collaborative design platform, whose function framework is constructed according to the process of project management. Finally three MPPS are solved on this platform and the results suggest that the proposed model, algorithm and framework be feasible.

Designing Physics Problems with Mathematica

We envision utilizing the versatility of a Computer Algebra System, specifically Mathematica to explore designing physics problems. As a focused project, we consider for instance a thermo-mechanical-physics problem showing its development from the ground up. Following the objectives of this investigation first by applying the fundamentals of physics principles we solve the problem symbolically. Applying the solution we investigate the sensitivities of the quantities of interest for various scenarios generating feasible numeric parameters. Although a physics problem is investigated, the proposed methodology may as well be applied to other scientific fields. The codes needed for this particular project are included enabling the interested reader to duplicate the results, extend and modify them as needed to explore various extended scenarios.

Hybridizing artificial bee colony with biogeography-based optimization for constrained mechanical design problems

A novel hybrid algorithm named ABC-BBO, which integrates artificial bee colony(ABC) algorithm with biogeography-based optimization(BBO) algorithm, is proposed to solve constrained mechanical design problems. ABC-BBO combined the exploration of ABC algorithm with the exploitation of BBO algorithm effectively, and hence it can generate the promising candidate individuals. The proposed hybrid algorithm speeds up the convergence and improves the algorithm's performance. Several benchmark test functions and mechanical design problems are applied to verifying the effects of these improvements and it is demonstrated that the performance of this proposed ABC-BBO is superior to or at least highly competitive with other population-based optimization approaches.

Integration of axiomatic design and theory of inventive problem solving for conceptual design

Axiomatic design (AD) and theory of inventive problem solving (TRIZ) are widely used in conceptual design. Both of them have limitations, however. We presented an integrated model of these two methods to increase the efficiency and quality of the problem solving process for conceptual design. AD is used for systematically defining and structuring a problem into a hierarchy. Sometimes, the design matrix is coupled in AD which indicates the functional requirements are coupled. TRIZ separation principles can be used to separate non-independent design parameters, which provide innovative solutions at each hierarchical level. We applied the integrated model to the heating and drying equipment of bitumen reproduction device. The result verifies that the integrated model can work very well in conceptual design.

Assessment of a Proposed Software Design for the Solution of Multi-Phase Mechanics Problems on Networked Laptops

This paper presents the design of a computational software system that enables solutions of multi-phase and multi-scale problems in mechanics. It demonstrated how mechanicians can design “process-driven” software systems directly, and that such efforts are more suitable in solving multi-phase or multi-scale problems, rather than utilizing the “data-driven” approaches of legacy network systems. Specifically, this paper demonstrates how this approach can be used to solve problems in flexible dynamics. Then it suggests a view of mechanics algorithms as ‘state equilibrium’ enforcers residing as servers, rather than as computer programs that solve field equations. It puts forth the need for identical input/output files to ensure widespread deployment on laptops. Then it presents an assessment of the laptop platform. A software system such as the one presented here can also be used to supply virtual environments, animations and entertainment/education software with physics.

On Henig Regularization of Material Design Problems for Quasi-Linear p-Biharmonic Equation

We study a Dirichlet optimal design problem for a quasi-linear monotone p-biharmonic equation with control and state constraints. We take the coefficient of the p-biharmonic operator as a design variable in . In this article, we discuss the relaxation of such problem.

Inverse Eigenvalue Problem in Structural Dynamics Design

A kind of inverse eigenvalue problem in structural dynamics design is considered. The problem is formulated as an optimization problem. The properties of this problem are analyzed, and the existence of the optimum solution is proved. The directional derivative of the objective function is obtained and a necessary condition for a point to be a local minimum point is given. Then a numerical algorithm for solving the problem is presented and a plane-truss problem is discussed to show the applications of the theories and the algorithm.

问题导向与成果导向相融合的钢筋混凝土结构设计原理课程教案设计

综合考虑钢筋混凝土结构设计原理课程章节内容较多的问题,进行合理的课程教案设计是目前较好地教授这门课的方法之一。首先,基于问题导向,总结各章节教学内容需要解决的关键问题;然后,基于成果导向,以问题导向中的各个关键问题为教学成果,开展各个章节的教案设计;最后,将钢筋混凝土结构设计原理课程中的主要章节内容整理成易于教学的教案,从而提升教师的教学能力和提高学生接受知识的能力。问题导向与成果导向相融合的教案设计方法可为土木工程专业其他相关课程的教案设计提供参考。

问题研究型建筑设计教学研究与实践

转型时期要求建筑教育必须采用创新教育方法,培养学生创新性设计思维。以问题为导向的研究型建筑设计教学,是对转型时期建筑教育的很好回应。它突出研究的重要性,教与学的关系从知识和技能的单向传输转向基于研究的双向交流和共同探索,实现“在研究中学”。教学中问题成为研究主题,设计则成为研究载体。提出问题研究型建筑设计教学的教学理念、研究问题、研究过程、教学形式及教学评价,试图探索建筑学专业教育改革的新方向。

PBL教学法在电磁学教学中的实践探索

介绍在“电磁学”课程中应用以问题为导向的PBL教学法,通过对知识点的梳理设计不同类型的教学问题,激发学生的学习兴趣和学习主动性,培养学生分析、判断和解决问题的能力,提高学生思辨水平和创新精神.提出了3种类型问题的设计方法,并以实际教学问题举例,阐述PBL教学法的应用实践.

高职思政课混合式教学设计研究

为深化线上线下教学的深度融合,促进技术手段与行为方式的系统整合,发挥混合式教学在高职思政课中的重要作用,文章界定了线上线下混合式教学的内涵,阐述了高职思政理论课以问题为导向、以学生为中心的教学设计理念。以该理念为指导,遵循问题解决的逻辑,通过目的和现状分析,明确了高职思政理论课教学设计要解决的问题;通过学情分析,阐释了影响高职思政理论课教学实效的消极性因素;在策略分析的基础上,构建了高职思政理论课混合式教学的基本框架。

基于PBL教学模式的课程实践探索——以游戏原型设计课程为例

文章以游戏原型设计课程为例,以问题导向式(PBL)教学模式为主旨,通过教师引导,将问题融入课程教学,培养学生的问题意识,以及提出问题、分析问题、解决问题的能力,并能够对游戏原型设计产生新的理解与认识,具备自主学习的能力。文章通过阐述PBL教学模式、分析教学方法、梳理课程设计、总结教学成果等内容,以期为相关课程提供一个具有推广价值的教学案例。

促进幼儿深度学习的项目式活动中驱动性问题链的设计

驱动性问题是项目式学习的核心与灵魂,是项目式活动的抓手,能够促进幼儿的深度学习,是培养幼儿核心素养的重要途径。探讨驱动性问题的内涵及设计,从教与学角度及项目学习的基本要素角度着手,分析驱动性问题在项目式活动中的引领作用,形成驱动性问题解决模式,用驱动性问题链引领项目活动的开展,促进幼儿的学习及深层次发展。

基于改进连续时间动态系统的模拟SAT求解器

针对布尔可满足性问题的高效求解进行了研究。首先,通过对k-SAT问题和基于耦合常微分方程形式的确定性连续时间动态系统的分析,提出了一种基于时延信息形式的改进连续时间动态系统方程,以保持集中搜索特性;然后,提出了实现该系统方程的三个主要组件即信号动态电路、辅助变量电路和数字验证电路的模拟设计。在信号动态电路的设计中,设计了一种获得更高性能、更小面积和更低功耗的模拟硬件形式;在提出的辅助变量电路和数字验证电路的模拟硬件设计中,实现了避免梯度下降搜索陷入无解和确定给定问题的解是否已经找到的目标;同时提出了降低面积和功耗的可替代辅助变量电路的两种设计方案。仿真实验结果表明,提出的新的模拟SAT求解器不仅是有效的,而且相比于单一软件算法实现的SAT求解器和其他硬件类SAT求解器具有更高的加速性能和更低的功耗。

新文科视域下基于PBL模式的“文科物理”教学设计

为了使“文科物理”课程更好地与新文科建设目标契合,构建“大问题”贯穿课程的混合式教学与“小问题”组织课堂的探究式教学有机融合的“大问题”+“小问题”教学模式,使“大问题”贯穿于整个教学过程,“小问题”紧扣课堂教学内容。同时,设计文理相融的三阶段教学模式,实施课前、课中、课后、线上和讨论等多环节多方式的PBL教学。采用该教学方式有助于调动学生的学习积极性,增强学生的科学素养。