APPLICATION NICHE GENETIC ALGORITHMS TO AVOA INVERSION IN ORTHORHOMBIC MEDIA

2006 ◽  
Author(s):  
MING-HUI LU ◽  
HUI-ZHU YANG
Keyword(s):  
Genetic Algorithms ◽  
Niche Genetic Algorithms

Optimized Analysis of the Hollow Floor Based on the Niche Genetic Algorithms

2013 ◽  
Vol 421 ◽  
pp. 751-755
Author(s):  
Chuan Teng Huang ◽  
Zhi Jun Wang
Keyword(s):  
Genetic Algorithms ◽  
Optimal Solution ◽  
Threshold Value ◽  
Geometric Parameters ◽  
Optimization Analysis ◽  
Global Optimal Solution ◽  
Excellent Mechanical Property ◽  
Section Design ◽  
Global Optimal ◽  
Niche Genetic Algorithms

Nowadays, the hollow floor is widely used due to its excellent mechanical property and economic benefit.However, its related specification is absence of evaluation in geometric parameters. The optimized analysis aimed at the hollow floor under vertical load, the total cost of the hollow floor is considered as a objective function, the maximum deflection and the threshold value of the geometric parameters are considered as constrain conditions. The program, which introduces the section design and compiled by the python script, based on the niche genetic algorithms is used to analyze the optimization of a hollow floor. Comparing to the global optimal solution, the program achieves good results. It indicates that the niche genetic algorithms is efficient and suited for the optimization analysis of hollow floor. The above mentioned conclusions will be conducive to engineering design and further research in this field.

Research on Satellite Formation Establishing in Elliptical Orbits Based on Two-Impulse Control

2013 ◽  
Vol 850-851 ◽  
pp. 466-470
Author(s):  
Jian Wei Shi ◽  
Yuan Wen Cai ◽  
Wei Qi Xie
Keyword(s):  
Genetic Algorithms ◽  
Impulse Control ◽  
Optimization Problem ◽  
Initial Position ◽  
Transfer Time ◽  
Satellite Formation ◽  
Fitness Functions ◽  
Transfer Orbit ◽  
Elliptical Orbits ◽  
Niche Genetic Algorithms

In order to solving the establishment problem of satellites formation establishing in elliptical orbits, the problem of Lambert transfer based on two-impulse control with unfixed time and initial position is studied. The Niche Genetic Algorithms (NGA) is used to locating the optimal transfer orbit, and the transfer time and initial position are coded into genetic algorithms, as well as the fitness functions are designed to total coasting. The results show that the NGA can solve the optimization problem of two-impulse control effectively, furthermore, the performance of NGA is more effective than the traditional genetic algorithm. The research provides a way for satellites formation establishing based on two-impulse control.

scholarly journals Sensitivity Analysis of a Species Conserving Genetic Algorithm's Parameters for Addressing the Niche Radius Problem

2019 ◽  
Vol 8 (2) ◽  
pp. 190
Author(s):  
Michael Scott Brown
Keyword(s):  
Genetic Diversity ◽  
Sensitivity Analysis ◽  
Genetic Algorithms ◽  
Parameter Sensitivity Analysis ◽  
Radius Parameter ◽  
Number Of Individuals ◽  
Niche Genetic Algorithms ◽  
Radius Problem ◽  
Special Category ◽  
Selection Of

Niche Genetic Algorithms (NGA) are a special category of Genetic Algorithms (GA) that solve problems with multiple optima. These algorithms preserve genetic diversity and prevent the GA from converging on a single optima. Many NGAs suffer from the Niche Radius Problem (NRP), which is the problem of correctly setting a radius parameter for optimal results. While the selection of the radius value has been widely researched, the effects of other GA parameters on genetic diversity is not well known. This research is a parameter sensitivity analysis on the other parameters in a GA, namely mutation rate, number of individuals and number of generations.

Study on Hull Form Optimization for Minimum Resistance Based on Niche Genetic Algorithms

2011 ◽  
Vol 27 (04) ◽  
pp. 162-168
Author(s):  
Zhang Bao-ji ◽  
Ma Kun
Keyword(s):  
Genetic Algorithms ◽  
Optimization Design ◽  
Rapid Convergence ◽  
Hull Form ◽  
Rankine Source ◽  
Design Variables ◽  
The Individual ◽  
Niche Genetic Algorithms ◽  
Basic Constraint ◽  
Minimum Resistance

The Niche Genetic Algorithms (NGAs) can overcome the deficiency of Genetic Algo-rithms (GAs), such as premature convergence and low ability of local search. The NGA can maintain the diversity of the individual in groups. Meanwhile, it has a high ability of globally searching and a rapid convergence rate. To get the hull form with minimum resistance, an optimization design of the hull form with NGA method, which is combined with CAD technology based on the Rankine source method, is proposed. The total resistance is taken as objective function in the optimization process, study on the optimization of the fore-body of hull is proposed, with the parameter of hull form modification function as design variables, with an appropriate displacement as the basic constraint. Initially, the Series60 hull was selected as the base for the optimized calculation. Comparison between the optimized results of the NGAs and GAs shows that the hull based on the optimized NGA are valid and effective.

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