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

Computer Modeling in Engineering & Sciences 2024年第4期139卷 1039-1094页

作者： Elif Varol Altay Osman Altay Yusuf Ovik Department of Software Engineering Manisa Celal Bayar UniversityManisa45400Turkey

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.

关键词： Metaheuristic optimization algorithms real-world engineering design problems multidisciplinary design optimization problems

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Metamodel-based multidisciplinary design optimization methods for aerospace system

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Astrodynamics 2021年第3期5卷 185-215页

作者： Renhe Shi Teng Long Nianhui Ye Yufei Wu Zhao Wei Zhenyu Liu School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Dynamics and Control of Flight Vehicle Ministry of EducationBeijing 100081China

The design of complex aerospace systems is a multidisciplinary design optimization(MDO)problem involving the interaction of multiple disciplines.However,because of the necessity of evaluating expensive black-box simulations,the enormous computational cost of solving MDO problems in aerospace systems has also become a problem in practice.To resolve this,metamodel-based design optimization techniques have been applied to MDO.With these methods,system models can be rapidly predicted using approximate metamodels to improve the optimization efficiency.This paper presents an overall survey of metamodel-based MDO for aerospace systems.From the perspective of aerospace system design,this paper introduces the fundamental methodology and technology of metamodel-based MDO,including aerospace system MDO problem formulation,metamodeling techniques,state-of-the-art metamodel-based multidisciplinary optimization strategies,and expensive black-box constraint-handling mechanisms.Moreover,various aerospace system examples are presented to illustrate the application of metamodel-based MDOs to practical engineering.The conclusions derived from this work are summarized in the final section of the paper.The survey results are expected to serve as guide and reference for designers involved in metamodel-based MDO in the field of aerospace engineering.

关键词： aerospace systems design multidisciplinary design optimization(MDO) metamodel-based design and optimization(MBDO) expensive black-box problems

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