A Multi-Objective Hybrid Optimization Methodology for Minimizing Aircraft Sonic Boom and Drag at Fixed Lift

2022 ◽  
Author(s):  
Ann-Kayana Blanchard ◽  
Justin Schoppe ◽  
Sohail Reddy ◽  
George S. Dulikravich ◽  
Paul G. Cizmas
Author(s):  
Rizk M. Rizk-Allah ◽  
Aboul Ella Hassanien

This chapter presents a hybrid optimization algorithm namely FOA-FA for solving single and multi-objective optimization problems. The proposed algorithm integrates the benefits of the fruit fly optimization algorithm (FOA) and the firefly algorithm (FA) to avoid the entrapment in the local optima and the premature convergence of the population. FOA operates in the direction of seeking the optimum solution while the firefly algorithm (FA) has been used to accelerate the optimum seeking process and speed up the convergence performance to the global solution. Further, the multi-objective optimization problem is scalarized to a single objective problem by weighting method, where the proposed algorithm is implemented to derive the non-inferior solutions that are in contrast to the optimal solution. Finally, the proposed FOA-FA algorithm is tested on different benchmark problems whether single or multi-objective aspects and two engineering applications. The numerical comparisons reveal the robustness and effectiveness of the proposed algorithm.


2019 ◽  
Vol 69 ◽  
pp. 8-16 ◽  
Author(s):  
Taimoor Iqbal ◽  
Ling Wang ◽  
Dichen Li ◽  
Enchun Dong ◽  
Hongbin Fan ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3324 ◽  
Author(s):  
Bou Malham ◽  
Zoughaib ◽  
Tinoco ◽  
Schuhler

In the light of the alarming impending energy scene, energy efficiency and exergy efficiency are unmistakably gathering momentum. Among efficient process design methodologies, literature suggests pinch analysis and exergy analysis as two powerful thermodynamic methods, each showing certain drawbacks, however. In this perspective, this article puts forward a methodology that couples pinch and exergy analysis in a way to surpass their individual limitations in the aim of generating optimal operating conditions and topology for industrial processes. Using new optimizing exergy‐based criteria, exergy analysis is used not only to assess the exergy but also to guide the potential improvements in industrial processes structure and operating conditions. And while pinch analysis considers only heat integration to satisfy existent needs, the proposed methodology allows including other forms of recoverable exergy and explores new synergy pathways through conversion systems. A simple case study is proposed to demonstrate the applicability and efficiency of the proposed method.


2016 ◽  
Vol 24 (3) ◽  
pp. 565-581 ◽  
Author(s):  
Qing Wu ◽  
Yan Sun ◽  
Maksym Spiryagin ◽  
Colin Cole

Wedge suspensions are critical systems for three-piece bogies. This paper proposes a methodology to optimize wedge suspensions using white-box suspension models, dynamic simulations of railway vehicle systems, parallel multi-objective Particle Swarm Optimization (pMOPSO), and parallel multi-objective Genetic Algorithm (pMOGA). Two types of original wedge suspensions with three different toe angle configurations were modeled and compared. Four case studies were carried out to prove the feasibility of the optimization methodology. A series of optimized designs were identified using the Pareto Front technique. Demonstrative optimized designs were compared with the original designs. Results show that wedge suspensions with the toe-in configuration provide better dynamic performance for freight wagons. Significant reductions to the maximum wheel/rail contact forces can be achieved by the optimized designs. Linear speed-up was achieved by using the parallel computing technique.


Sign in / Sign up

Export Citation Format

Share Document