Performance Evaluation of a Hybrid NSGA-III for Multi and Many-Objective Optimization in Real-World Problems DOI

Paulo Lopes do Nascimento,

Dênis E. C. Vargas, Elizabeth F. Wanner

et al.

Published: Nov. 6, 2024

Several real-world problems can be modeled as optimization in which multiple conflicting objectives must optimized simultaneously. Evolutionary algorithms (EA) are able to identify a set of non-dominated solutions (Pareto front) and commonly used solve these problems. Hybrid EAs that combine various techniques leverage the strengths each method involved, enhancing their overall effectiveness. This study evaluates performance well-known NSGA-III hybridized with Differential Evolution, Sine Cosine, Arithmetic on based applications three, four five objective functions, extracted from CEC 2021 competition. Performance comparisons between hybrid original versions were conducted using IGD+ HyperVolume indicators. Statistical analysis via Wilcoxon test revealed significant improvements when version is considered.

Language: Английский

Integrated uncertain optimal design strategy for truss configuration and attitude–vibration control in rigid–flexible coupling structure with interval uncertainties DOI
Chen Yang,

Qingshuang Wang,

Wanze Lu

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Language: Английский

Citations

60
Optimizing steel arch bridge components using multi-objective harmony search DOI
Tae-Yun Kwon,

Sang-Soo Ma,

Jungwon Huh

et al.

Structures, Journal Year: 2025, Volume and Issue: 73, P. 108389 - 108389

Published: Feb. 15, 2025

Language: Английский

Citations

2
Constructability-based design approach for steel structures: From truss beams to real-world inspired industrial buildings DOI Creative Commons
Raffaele Cucuzza, Angelo Aloisio, Majid Movahedi Rad

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 166, P. 105630 - 105630

Published: July 23, 2024

This paper presents an optimization framework for steel trusses. The authors implemented a penalty-based approach to optimise the size, shape, and topology based on dynamic grouping strategy address constructability challenges. main contribution of is use damped exponential penalties. ensures optimal designs by balancing structural complexity, through standardization in design, minimizing total number members variety sections, with overall cost. also detailed analysis that underscores sensitivity convergence algorithmic hyperparameters, emphasizing role cross-section assignments stabilization truss piece counts. validated trussed roof structure findings from single optimization. best proved be Howe configuration, highlighting its efficiency meeting defined objective function.

Language: Английский

Citations

17
A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems DOI
Shihong Yin, Zhengrong Xiang

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 256, P. 124929 - 124929

Published: July 30, 2024

Language: Английский

Citations

10
MOBBO: A Multiobjective Brown Bear Optimization Algorithm for Solving Constrained Structural Optimization Problems DOI Creative Commons
Pranav Mehta, Sumit Kumar, Ghanshyam G. Tejani

et al.

Journal of Optimization, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

The multiobjective (MO) optimizers show great promise in solving constrained engineering structural problems. This paper introduces a MO version of the Brown Bear Optimization (BBO) algorithm, inspired by foraging behavior brown bears. proposed Multiobjective (MOBBO) algorithm is applied to five optimization problems, including 10‐bar, 25‐bar, 60‐bar, 72‐bar, and 942‐bar trusses, aiming minimize both mass maximum nodal deflection simultaneously. Comparative evaluations against six benchmark algorithms demonstrate MOBBO’s superior convergence, solution diversity, effectiveness addressing highly hypervolume (HV) inverted generational distance (IGD) metrics place MOBBO first rank according Friedman test, with an average standard deviation 0.0002. Moreover, spacing‐to‐extent (STE) (GD) second. final test highlights overall dominance, achieving rank. Best Pareto plots, diversity graphs, box plot analyses further suggest performance convergence compared existing algorithms. Therefore, can be effectively various tasks industry, offering refined global solutions contributing valuable insights field

Language: Английский

Citations

10
Many-Objective Truss Structural Optimization Considering Dynamic and Stability Behaviors DOI Creative Commons
João Marcos P. Vieira, José Pedro Carvalho, Dênis E. C. Vargas

et al.

Dynamics, Journal Year: 2025, Volume and Issue: 5(1), P. 3 - 3

Published: Jan. 14, 2025

The most commonly used objective function in structural optimization is weight minimization. Nodal displacements, compliance, the first natural frequency of vibration, critical load factor concerning global stability, and others can also be considered additional functions. This paper aims to propose seven innovative many-objective problems (MOSOPs) applied 25-, 56-, 72-, 120-, 582-bar trusses, not yet presented literature, which main objectives, addition structure’s weight, refer structures’ vibrational stability aspects. These characteristics are essential designing models, such as frequencies vibration factors stability. Such new MOSOPs have more than three functions called problems. chosen difference between some its factors. sizing design variables cross-sectional areas bars (continuous or discrete). methodology involves finite element method (FEM) obtain constraints multi-objective evolutionary algorithms (MOEAs) based on differential evolution solve analyzed this study. In addition, multi-criteria decision-making (MCDM) adopted extract solutions from Pareto fronts according artificial decision-maker’s (DM) preference scenarios, complete data for each solution provided. For MOSOP with functions, it possible observe variations final weights optimum designs, considering hypothetic 21.09% (25-bar truss), 289.73% (56-bar 70.46% (72-bar 45.35% (120-bar 74.92% (582-bar truss).

Language: Английский

Citations

0
A Comparison of Modern Metaheuristics for Multi-Objective Optimization of Transonic Aeroelasticity in a Tow-Steered Composite Wing DOI Creative Commons
Kantinan Phuekpan,

Rachata Khammee,

Natee Panagant

et al.

Aerospace, Journal Year: 2025, Volume and Issue: 12(2), P. 101 - 101

Published: Jan. 30, 2025

This study proposes a design procedure for the multi-objective aeroelastic optimization of tow-steered composite wing structure that operates at transonic speed. The aerodynamic influence coefficient matrix is generated using doublet lattice method, with steady-state component further refined through high-fidelity computational fluid dynamics (CFD) analysis to enhance accuracy in conditions. Finite element (FEA) used perform structural analysis. A problem formulated structure, where objective functions are designed mass and critical speed, constraints include limits. comparative eight state-of-the-art algorithms conducted evaluate their performance solving this problem. Among them, Multi-Objective Multi-Verse Optimization (MOMVO) algorithm stands out, demonstrating superior achieving best results task.

Language: Английский

Citations

0
Structural Shape Optimization for Reducing Embodied Carbon by Integrating Optimization Processes at the Early Stages of Truss Structural Design DOI Creative Commons
Ginnia Moroni, Eric Forcael

Buildings, Journal Year: 2025, Volume and Issue: 15(6), P. 877 - 877

Published: March 12, 2025

As the operation of buildings becomes more efficient, carbon emissions generated by other phases building’s life cycle should also be mitigated to address climate crisis. In this sense, structural systems play an essential role in total embedded construction. This paper presents approach conceptual design development truss structures based on material quantity and carbon. For this, a multi-objective optimization process enables integration different criteria, such as performance, shape complexity, utilization ratio, rationalization. The procedure is implemented Rhino/Grasshopper using parametric model that designer can adjust according project requirements. was applied two study cases consisting long-span roof structures. results show mass decreased over 50% after implementing present approach. They indicate tend increase when augmenting cross-section rationalization; however, displacements have opposite response. Furthermore, it found some topologies perform better regarding first objectives (material emissions). proposed workflow allowed for assessment rationalization levels maintain reduction these variables while enabling suitable construction, helping improve energy efficiency driven perspective.

Language: Английский

Citations

0
Intelligent optimization and seismic fragility evaluation of large-span spatial steel structures DOI

Xiangbing Yang,

Wenchen Shan,

Jiepeng Liu

et al.

Journal of Constructional Steel Research, Journal Year: 2025, Volume and Issue: 232, P. 109610 - 109610

Published: May 3, 2025

Language: Английский

Citations

0
Optimized quantum LSTM using modified electric Eel foraging optimization for real-world intelligence engineering systems DOI Creative Commons
Mohammed A. A. Al‐qaness, Mohamed Abd Elaziz, Abdelghani Dahou

et al.

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 15(10), P. 102982 - 102982

Published: Aug. 2, 2024

The integration of metaheuristics with machine learning methodologies presents significant advantages, particularly in optimization and computational intelligence. This amalgamation leverages the global search capabilities alongside pattern recognition predictive prowess learning, facilitating enhanced convergence rates solution quality complex problem spaces. Quantum Long Short-Term Memory (QLSTM) emerges as a highly efficient deep model tailored to tackle such intricate engineering problems. QLSTM's architecture, comprising data encoding, variational, quantum measurement layers, facilitates effective encoding processing civil data, leading heightened prediction accuracy. However, task determining optimal values for QLSTM parameters challenges due its NP-problem nature time-consuming characteristics. To address this, we propose an alternative technique optimize based on modified Electric Eel Foraging Optimization (MEEFO). MEEFO is version original EEFO that applies triangular mutation operators boost capability traditional EEFO. Thus, optimizes boosts performance. validate efficacy our proposed method, conduct comprehensive experiments utilizing five real-world datasets related construction structure engineering. evaluation outcomes unequivocally demonstrate MMEFO significantly enhances performance QLSTM.

Language: Английский

Citations

3