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.

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.

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.

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.

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.

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.

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.

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。

管工交叉专业改革——基于三链融合的理论视角

在智慧经济与产业创新引领下,在新文科建设的推动下,高校迫切需要对管工交叉型专业进行创新改革。文章结合天津市高校物流专业调研数据,从“历史链—组织链—目标链”三链融合理论出发,利用问卷调查进行了三链融合数据的皮尔逊相关分析,提出了管工交叉型专业改革的内在逻辑、障碍总结与路径设计。研究结果表明:以三链为基础,当前高校专业改革面临的主要障碍包括师资历史积淀少、产学研合作制度不完善、监督制度不健全、反馈制度效率低、就业升学目标不清晰以及资源组织目标不清晰等方面。因此,天津市高校应依托于教学改革、科研育人、社会服务三个模块实现数字化、智慧化、整合性人才培养目标的专业创新改革。文章结合天津大学物流工程专业改革案例,为高校管工交叉专业转型提供思路与参考。

生成式AI模型人智共创中的对齐问题研究

目的以人工智能对齐的视角,探讨在人智共创中生成式AI模型如何对齐设计师的意图。方法通过要素分析,以人工智能对齐问题中的可解释性与可控性为研究视角,探讨生成式AI技术作为辅助设计工具如何对齐设计求解过程中“探索-创新-评估”三个设计阶段的具体意图与需求,并分析对齐阶段中需要解决的对齐问题。结果根据对齐阶段的任务构建基于人智设计概念表征交互式对齐方法、表征拓展方法与表征评估方法。结论在三个对齐阶段中分别构建意图对齐、设计空间拓展和设计规则匹配这三种方法,帮助设计师构建可控、可解释的人智共创方法,从而构建可控、可信的人智共创。

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。

问题导向的“钢结构设计原理”课堂理论教学改革

“钢结构设计原理”是道路桥路与渡河工程专业的核心专业课程,扎实提升课堂理论教学效率和效果是该课程教学改革的重要任务和目标。细致分析“钢结构设计原理”的课程内容特点以及由此导致学生学习过程中存在的问题,有针对性地提出从多层次网格模块化教学内容、建立“思维主线”、引入真实工程案例、坚持精确理论推导与定性分析相结合、开展课程横向比较等方面开展课堂理论教学改革,进而从根本上提升课堂理论教学的效率与效果。

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。

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。

体知哲学下的设计认知模式研究

目的分析体知哲学对传统造物思维的影响,并阐释体知哲学下的当代设计认知模式。方法通过对比分析中国传统“体知”和西方“认知”的结构,挖掘体知中蕴含的整体性、直觉性、践履性、关系性思维模式特征,并通过“解题模式”框架研究“体知”思想下的设计认知模式。结论体知活动的基础是整体性思维下的天人合一;体知活动的主体是直觉性思维下的身心一体;体知活动的方法是践履性思维的知行合一;体知活动的结果是关系性思维的两一化生。体知哲学下的设计认知模式在整体思维中表现为满足约束限制与达成目标的过程;在直觉思维中表现为寻找表征的过程;在践履思维中呈现为行动反思与设定问题的过程;在关系思维中展现为联想组合的过程。