Design optimization of the parallel-feeding multi-effect evaporation system using multi-objective genetic algorithm

2021 ◽  
Vol 224 ◽  
pp. 33-46
Author(s):  
Cong Liu ◽  
Mingshu Bi ◽  
Guangrui Cui
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Application of Multi-Objective Genetic Algorithm (MOGA) for Design Optimization of Valve Timing at Various Engine Speeds

2011 ◽  
Vol 264-265 ◽  
pp. 1719-1724 ◽  
Author(s):  
A.K.M. Mohiuddin ◽  
Md. Ataur Rahman ◽  
Yap Haw Shin
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Robust Design Optimization ◽  
Primary Concern ◽  
Variable Valve Timing ◽  
Valve Timing ◽  
Engine Valve ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Variable Valve

This paper aims to demonstrate the effectiveness of Multi-Objective Genetic Algorithm Optimization and its practical application on the automobile engine valve timing where the variation of performance parameters required for finest tuning to obtain the optimal engine performances. The primary concern is to acquire the clear picture of the implementation of Multi-Objective Genetic Algorithm and the essential of variable valve timing effects on the engine performances in various engine speeds. Majority of the research works in this project were in CAE software environment and method to implement optimization to 1D engine simulation. The paper conducts robust design optimization of CAMPRO 1.6L (S4PH) engine valve timing at various engine speeds using multiobjective genetic algorithm (MOGA) for the future variable valve timing (VVT) system research and development. This paper involves engine modelling in 1D software simulation environment, GT-Power. The GT-Power model is run simultaneously with mode Frontier to perform multiobjective optimization.

Design optimization of a runflat structure based on multi-objective genetic algorithm

2015 ◽  
Vol 51 (6) ◽  
pp. 1363-1371 ◽  
Author(s):  
Guan Zhou ◽  
Zheng-Dong Ma ◽  
Aiguo Cheng ◽  
Guangyao Li ◽  
Jin Huang
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

scholarly journals Design optimization of water distribution networks: real-world case study with penalty-free multi-objective genetic algorithm using pressure-driven simulation

Water SA ◽  
2020 ◽  
Vol 46 (3 July) ◽  
Author(s):  
Tiku T Tanyimboh ◽  
Alemtsehay G Seyoum
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Real World ◽  
Distribution Systems ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Systems ◽  
Active Constraint ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Water distribution systems are an integral part of the economic infrastructure of modern-day societies. However, previous research on the design optimization of water distribution systems generally involved few decision variables and consequently small solution spaces; piecemeal-solution methods based on pre-processing and search space reduction; and/or combinations of techniques working in concert. The present investigation was motivated by the desire to address the above-mentioned issues including those associated with the lack of high-performance computing (HPC) expertise and limited access in developing countries. More specifically, the article’s aims are, firstly, to solve a practical water distribution network design optimization problem and, secondly, to develop and demonstrate a generic multi-objective genetic algorithm capable of achieving optimal and near-optimal solutions on complex real-world design optimization problems reliably and quickly. A multi-objective genetic algorithm was developed that applies sustained and extensive exploration of the active constraint boundaries. The computational efficiency was demonstrated by the small fraction of 10-245 function evaluations relative to the size of the solution space. Highly competitive solutions were achieved consistently, including a new best solution. The water utility’s detailed distribution network model in EPANET 2 was used for the hydraulic simulations. Therefore, with some additional improvements, the optimization algorithm developed could assist practitioners in day-to-day planning and design.

scholarly journals Aerodynamic Design Optimization of a Kind of Reentry Capsule Based on CFD and Multi-objective Genetic Algorithm

2015 ◽  
Vol 99 ◽  
pp. 396-404
Author(s):  
Wang Rong ◽  
Chen Bing-yan ◽  
Zhang Hong-jun ◽  
Zhou Wei-jiang ◽  
Bai Peng ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Aerodynamic Design ◽  
Multi Objective ◽  
Aerodynamic Design Optimization ◽  
Multi Objective Genetic Algorithm
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