نتایج جستجو برای: genetic algorithms optimization ducted propeller efficiency vibration

تعداد نتایج: 1542951  

Journal: :iranian journal of science and technology transactions of civil engineering 2015
h. r. safavi f. rezaei

semiarid regions with their exceptional weather conditions, low precipitation, and high evapotranspiration pose a great challenge to water resources managers. one possible way to face this challenge is the conjunctive use of both surface water and groundwater resources in these regions. this paper proposes a conjunctive use model which has been implemented in najafabad plain in central iran. th...

Journal: :journal of advances in computer research 0
majid mohammadpour young researchers and elite club, yasooj branch, islamic azad university, yasooj, iran hamid parvin department of computer engineering, yasooj branch, islamic azad university, yasooj, iran

nowadays, it is common to find optimal point of the dynamic problem; dynamic problems whose optimal point changes over time require algorithms which dynamically adapt the search space instability. in the most of them, the exploitation of some information from the past allows to quickly adapt after an environmental change (some optimal points change). this is the idea underlining the use of memo...

In this paper, multi-objective uniform-diversity genetic algorithm (MUGA) with a diversity preserving mechanism called the ε-elimination algorithm is used for Pareto optimization of 5-degree of freedom vehicle vibration model considering the five conflicting functions simultaneously. The important conflicting objective functions that have been considered in this work are, namely, vertical accel...

2012
Jingjun Zhang Minghui Luo Ruizhen Gao Lili He

Actuators formed from piezoelectric ceramics were embedded in truss rods to make up active rods. The paper used mechanical knowledge, static stiffness method and the finite element method to analyze the active rod and the smart truss structure and then model them. In order to solve the difficult problem of number optimization, the paper put forward the actuator existence variable and optimized ...

Journal: :Bureau of Standards Journal of Research 1934

Journal: : 2023

A propeller generates lift in the direction of revolution, similar to a revolving wing. Many previous optimization techniques exist; nevertheless, they often find optimal thrust coefficient at constant power and vice versa. Using two types algorithms, genetic algorithm (GA), ant colony (ACO), comparing with each other, this study will discover value combined obtain optimum lowest same time. Sim...

Journal: :Drones 2023

A large part of small-sized UAVs that are used for surface scanning, video- and photography, or other similar applications the multirotor type. These small aircraft perform mainly in hovering nearly flight mode, endurance these vehicles depends greatly on efficiency their motors aerodynamic thrust-generating systems, including propellers, ducted fans, etc. Propellers may therefore work differen...

S. Hasheminasab, S. Shojaee,

Although Genetic algorithm (GA), Ant colony (AC) and Particle swarm optimization algorithm (PSO) have already been extended to various types of engineering problems, the effects of initial sampling beside constraints in the efficiency of algorithms, is still an interesting field. In this paper we show that, initial sampling with a special series of constraints play an important role in the conv...

Journal: :Annales UMCS, Informatica 2005
Artur Stasikowski Jerzy Czerbniak Tomasz M. Gwizdalla

The application of genetic algorithms in a physical problem of modeling of isolated atomic clusters is the topic of our research. Evolutionary algorithms are a mechanism of the global optimization learning about the solution of the search space. This mechanism plays the role of giving the candidates to global optima. We can use the local optimization in the evolutionary process to improve the e...

This study proposes a modified version of cultural algorithms (CAs) which benefits from rule-based system for influence function. This rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. This is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. This rule ...

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