Low-speed airfoil optimization using constrained differential evolution
نویسندگان
چکیده
منابع مشابه
Constrained Multi-Objective Optimization Using Differential Evolution
Most real-world optimization problems include multiple objective functions and several constraints. The Differential Evolution algorithm was initially developed for unconstrained single-objective problems and was shown to be a fast, simple algorithm. In order to utilize these advantages in real-world problems it was adapted for multi-objective optimization recently. In this work a multi-objecti...
متن کاملWell Placement Optimization Using Differential Evolution Algorithm
Determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. It is a computationally intensive task due to the large number of simulation runs required. Therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum numbe...
متن کاملMulti-point Airfoil Optimization Using Evolution Strategies
The considered multi-point (multi-objective) optimization problem is characterized by a multi-modal, nonlinear topology and a highly sophisticated evaluation of the objective function, thus requiring an efficient, direct global optimization algorithm. Evolution strategies have shown their capabilities for solving complex optimization problems with continuous variables in a variety of applicatio...
متن کاملModified Differential Evolution for Constrained Optimization [CEC7551]
In this paper, we present a Differential-Evolution based approach to solve constrained optimization problems. The aim of the approach is to increase the probability of each parent to generate a better offspring. This is done by allowing each solution to generate more than one offspring but using a different mutation operator which combines information of the best solution in the population and ...
متن کاملA Modified Differential Evolution for Constrained Optimization
This paper proposed a modified differential evolution algorithm (MCDE) to solve constrained optimization problems. The methods incorporated the center point of the population into the DE algorithm, and modified the crossover factor of DE algorithm and used three simple selection criteria based on feasibility to guide the search in the feasible region. The proposed approach can be easily applied...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: INCAS BULLETIN
سال: 2020
ISSN: 2247-4528,2066-8201
DOI: 10.13111/2066-8201.2020.12.4.8