Enhancing a twist beam suspension system conceptual design using population-based optimization methods

2020 ◽  
Vol 62 (7) ◽  
pp. 672-677 ◽  
Author(s):  
Emre İsa Albak ◽  
Erol Solmaz ◽  
Ferruh Öztürk
Keyword(s):  
Conceptual Design ◽  
Optimization Methods ◽  
Population Based ◽  
Suspension System

Enhancing a twist beam suspension system conceptual design using population-based optimization methods

2020 ◽  
Vol 62 (7) ◽  
pp. 672-677 ◽  
Author(s):  
E. İ. Albak ◽  
E. Solmaz ◽  
F. Öztürk
Keyword(s):  
Mathematical Model ◽  
Conceptual Design ◽  
Optimization Methods ◽  
Population Based ◽  
Least Squares Regression ◽  
Stage Design ◽  
Beam Design ◽  
Design Variables ◽  
Optimization Study ◽  
The Mathematical Model

Abstract Twist beam suspension systems are usually used in middle segment vehicles due to certain advantages. Researchers have presented many studies on both lightweight and functional twist beam design. In this paper, an optimization study is presented for enhancing the conceptual design of the twist beam by defining design variables along the twist beam as subject to vehicle handling conditions.Toe and camber angles are essential parameters that determine vehicle behavior during maneuvering. In this study, opposite wheel travel analysis is performed to represent maneuvering behavior. Therefore, while the optimization study is presented in the form of weight reduction, it is aimed to keep the toe and camber angles at certain intervals. Ant lion optimizer and mothflame optimization methods, which are population-based optimization methods, are used in the optimization phase to evaluate the performance of the new algorithms as compared with genetic algorithm in terms of robustness and correctness in the case of twist beam design. A two stage approach is introduced for presenting the optimization model and analysis. In the first stage, design space is created via the Latin hypercube method; the mathematical model is obtained via the least squares regression method. Finally, the mathematical model is solved to enhance twist beam conceptual design using recently developed population based optimization algorithms.

scholarly journals Optimizing community detection in social networks using antlion and K-median

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Amany A. Naem ◽  
Neveen I. Ghali
Keyword(s):  
Social Networks ◽  
Objective Function ◽  
Community Detection ◽  
Optimization Problem ◽  
Real Life ◽  
Optimization Methods ◽  
Population Based ◽  
Detection Problem ◽  
Network Communities ◽  
Antlion Optimization

Antlion Optimization (ALO) is one of the latest population based optimization methods that proved its good performance in a variety of applications. The ALO algorithm copies the hunting mechanism of antlions to ants in nature. Community detection in social networks is conclusive to understanding the concepts of the networks. Identifying network communities can be viewed as a problem of clustering a set of nodes into communities. k-median clustering is one of the popular techniques that has been applied in clustering. The problem of clustering network can be formalized as an optimization problem where a qualitatively objective function that captures the intuition of a cluster as a set of nodes with better in ternal connectivity than external connectivity is selected to be optimized. In this paper, a mixture antlion optimization and k-median for solving the community detection problem is proposed and named as K-median Modularity ALO. Experimental results which are applied on real life networks show the ability of the mixture antlion optimization and k-median to detect successfully an optimized community structure based on putting the modularity as an objective function.

Reduced Order Design Optimization of Liquid Cooled Heat Sinks

2021 ◽  
Vol 143 (4) ◽  
Author(s):  
Aniket Ajay Lad ◽  
Kai A. James ◽  
William P. King ◽  
Nenad Miljkovic
Keyword(s):  
Design Optimization ◽  
Power Density ◽  
Building Blocks ◽  
Optimization Methods ◽  
Population Based ◽  
Global Optimum ◽  
Heat Sinks ◽  
Geometrical Parameters ◽  
Power Module ◽  
Reduced Order

Abstract The recent growth in electronics power density has created a significant need for effective thermal management solutions. Liquid-cooled heat sinks or cold plates are typically used to achieve high volumetric power density cooling. A natural tradeoff exists between the thermal and hydraulic performance of a cold plate, creating an opportunity for design optimization. Current design optimization methods rely on computationally expensive and time consuming computational fluid dynamics (CFD) simulations. Here, we develop a rapid design optimization tool for liquid cooled heat sinks based on reduced-order models for the thermal-hydraulic behavior. Flow layout is expressed as a combination of simple building blocks on a divided coarse grid. The flow layout and geometrical parameters are incorporated to optimize designs that can effectively address heterogeneous cooling requirements within electronics packages. We demonstrate that the use of population-based searches for optimal layout selection, while not ensuring a global optimum solution, can provide optimal or near-optimal results for most of the test cases studied. The approach is shown to generate optimal designs within a timescale of 60–120 s. A case study based on cooling of a commercial silicon carbide (SiC) electronics power module is used to demonstrate the application of the developed tool and is shown to improve the performance as compared to an aggressive state-of-the-art single-phase liquid cooling solution by reducing the SiC junction-to-coolant thermal resistance by 25% for the same pressure drop.

Conceptual Design of a 200 Passenger Blended Wing Body Aircraft

2014 ◽  
Author(s):  
Sami Ammar ◽  
Jean-Yves Trépanier
Keyword(s):  
Dynamic Stability ◽  
Conceptual Design ◽  
Aircraft Design ◽  
Optimization Methods ◽  
Integrated Optimization ◽  
Aerodynamic Analysis ◽  
Performance Improvements ◽  
Static And Dynamic Stability ◽  
Blended Wing Body ◽  
Large Aircraft

The Blended Wing Body (BWB) aircraft is based on the flying wing concept. For this aircraft the literature has reported performance improvements compared to conventional aircraft. However, most BWB studies have focused on large aircraft and it is not sure whether the gains are the same for smaller aircraft. The main objective of this work is to perform the conceptual design of a 200 passengers BWB and compare its performance against an equivalent conventional A320 aircraft in terms of payload and range. Moreover, an emphasis will be placed on obtaining a stable aircraft, with the analysis of static and dynamic stability. The design of BWB was carried out under the platform called Computerized Environment for Aircraft Synthesis and Integrated Optimization Methods (CEASIOM). This design platform, suitable for conventional aircraft design, has been modified and additional tools have been integrated in order to achieve the aerodynamic analysis, performance and stability of the BWB aircraft.

scholarly journals Test-Sheet Composition Using Analytic Hierarchy Process and Hybrid Metaheuristic Algorithm TS/BBO

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Hong Duan ◽  
Wei Zhao ◽  
Gaige Wang ◽  
Xuehua Feng
Keyword(s):  
Analytic Hierarchy Process ◽  
Score Test ◽  
Optimization Methods ◽  
Population Based ◽  
Question Type ◽  
Test Time ◽  
Analytic Hierarchy ◽  
Test Sheet ◽  
Composition Problem ◽  
Hierarchy Process

Due to the shortcomings in the traditional methods which dissatisfy the examination requirements in composing test sheet, a new method based on tabu search (TS) and biogeography-based optimization (BBO) is proposed. Firstly, according to the requirements of the test-sheet composition such as the total score, test time, chapter score, knowledge point score, question type score, cognitive level score, difficulty degree, and discrimination degree, a multi constrained multiobjective model of test-sheet composition is constructed. Secondly, analytic hierarchy process (AHP) is used to work out the weights of all the test objectives, and then the multiobjective model is turned into the single objective model by the linear weighted sum. Finally, an improved biogeography-based optimization—TS/BBO is proposed to solve test-sheet composition problem. To prove the performance of TS/BBO, TS/BBO is compared with BBO and other population-based optimization methods such as ACO, DE, ES, GA, PBIL, PSO, and SGA. The experiment illustrates that the proposed approach can effectively improve composition speed and success rate.

A Glowworm Swarm Optimization Algorithm for Uninhabited Combat Air Vehicle Path Planning

2015 ◽  
Vol 24 (1) ◽  
pp. 69-83 ◽  
Author(s):  
Zhonghua Tang ◽  
Yongquan Zhou
Keyword(s):  
Path Planning ◽  
Heuristic Algorithms ◽  
Optimization Methods ◽  
Pso Algorithm ◽  
Population Based ◽  
Computational Accuracy ◽  
Swarm Optimization ◽  
Glowworm Swarm Optimization ◽  
Air Vehicle ◽  
The Individual

AbstractUninhabited combat air vehicle (UCAV) path planning is a complicated, high-dimension optimization problem. To solve this problem, we present in this article an improved glowworm swarm optimization (GSO) algorithm based on the particle swarm optimization (PSO) algorithm, which we call the PGSO algorithm. In PGSO, the mechanism of a glowworm individual was modified via the individual generation mechanism of PSO. Meanwhile, to improve the presented algorithm’s convergence rate and computational accuracy, we reference the idea of parallel hybrid mutation and local search near the global optimal location. To prove the performance of the proposed algorithm, PGSO was compared with 10 other population-based optimization methods. The experiment results show that the proposed approach is more effective in UCAV path planning than most of the other meta-heuristic algorithms.

Model-Based Conceptual Design Optimization Methods: Disaggregated Weather System Follow-On

2015 ◽  
Vol 52 (4) ◽  
pp. 1021-1037 ◽  
Author(s):  
Robert E. Thompson ◽  
John M. Colombi ◽  
Jonathan Black ◽  
Bradley J. Ayres
Keyword(s):  
Design Optimization ◽  
Conceptual Design ◽  
Optimization Methods ◽  
Weather System ◽  
Model Based

Comparison between Multiobjective Population-Based Algorithms in Mechanical Problem

2011 ◽  
Vol 110-116 ◽  
pp. 2383-2389
Author(s):  
H.E. Radhi ◽  
S.M. Barrans
Keyword(s):  
Performance Metrics ◽  
Graphical Representation ◽  
Fitness Function ◽  
Average Distance ◽  
Optimization Methods ◽  
Population Based ◽  
Pareto Solutions ◽  
Numerical Performance ◽  
Definition Of ◽  
Pareto Fronts

The objective of this paper was to perform a comparative study among multiobjective optimization methods on practical problem by using modeFRONTIER optimization software, to determine the efficiency of each method. In order to measure the effectiveness and competence of each method, the lifting arm problem was chosen from the literature [1]. Two numerical performance metrics and one visual criterion were chosen for qualitative and quantitative comparisons:(1) the variance of solution distribution in the Pareto optimal regions, (2) the ratio between the number of resulting Pareto front members to total numbers fitness function calculations which is denoted by hit rate [2], and lastly (3) graphical representation of the Pareto fronts for discussion. These metrics were chosen to represent the quality, as well as speed of the algorithms by ensuring well extends solutions. The definition of the variance as the sum of the square difference between the distance of each Pareto solutions and the average distance between Pareto solutions, over the total number of Pareto solutions. Comparisons among the results obtained using different algorithms have been performed to verify their performance. The experiments carried out indicate that FMOGA-II obtains remarkable results regarding all metrics used.

The Application of a Concurrent Design Optimization Tool to a Composite Panel for a Naval Ship Structure

1996 ◽  
Author(s):  
S. Dirlik ◽  
S. Hambric ◽  
S. Azarm ◽  
M. Marquardt ◽  
A. Hellman ◽  
...  
Keyword(s):  
Design Optimization ◽  
Conceptual Design ◽  
Electromagnetic Interference ◽  
Optimization Methods ◽  
Composite Panel ◽  
Concurrent Design ◽  
Naval Ship ◽  
Design Tradeoffs ◽  
Local Optimizer ◽  
The Impact

Abstract A prototype concurrent design optimization tool, named CELS for Concurrent Engineering of Layered Structures, has been developed. This tool can be used to analyze and/or optimize the conceptual design of a composite panel for Naval ship topside structures. CELS integrates five technology modules: (1) electromagnetic interference, (2) radar cross section, (3) structures, (4) cost, and (5) weight. Two optimization methods drive the integration of the technology modules. These methods include: (i) a local optimizer based on feasible sequential quadratic programming, and (ii) a global optimizer based on an exhaustive search. To obtain an objectively balanced design, “goodness” measures are allocated for each objective or constraint function. These measures, via a graphical user interface, allow topside designers to easily and quickly assess the impact of their decisions on various technologies. The utility and capability of CELS are demonstrated via the design of a topside composite panel. The design study shows that CELS can be easily adapted to different topside conceptual design problems, and that design tradeoffs can be performed quickly and used in decision making.

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