scholarly journals Comparison between genetic algorithm and linear programming approach for real time operation

2008 ◽  
Vol 2 (3) ◽  
pp. 172-181 ◽  
Author(s):  
H. Md. Azamathulla ◽  
Fu-Chun Wu ◽  
Aminuddin Ab Ghani ◽  
Sandeep M. Narulkar ◽  
Nor Azazi Zakaria ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Linear Programming ◽  
Real Time ◽  
Programming Approach ◽  
Linear Programming Approach ◽  
Time Operation ◽  
Real Time Operation

scholarly journals Flight Motion Controller Design using Genetic Algorithm for a Quadcopter

2018 ◽  
Vol 51 (3-4) ◽  
pp. 59-64 ◽  
Author(s):  
Huu Khoa Tran ◽  
Thanh Nam Nguyen
Keyword(s):  
Genetic Algorithm ◽  
Real Time ◽  
Controller Design ◽  
Fitness Function ◽  
Absolute Error ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Time Operation ◽  
Real Time Operation ◽  
Effective Stability

In this study, the Genetic Algorithm operability is assigned to optimize the proportional–integral–derivative controller parameters for both simulation and real-time operation of quadcopter flight motion. The optimized proportional–integral–derivative gains, using Genetic Algorithm to minimum the fitness function via the integral of time multiplied by absolute error criterion, are then integrated to control the quadcopter flight motion. In addition, the proposed controller design is successfully implemented to the experimental real-time flight motion. The performance results are proven that the highly effective stability operation and the reliable of waypoint tracking.

scholarly journals Genetic algorithms for real-time operation of multipurpose water resource systems

2004 ◽  
Vol 6 (1) ◽  
pp. 19-38 ◽  
Author(s):  
Alcigeimes B. Celeste ◽  
Koichi Suzuki ◽  
Akihiro Kadota
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Real Time ◽  
Water Resource ◽  
Water Resource System ◽  
Shuffled Complex Evolution ◽  
Time Operation ◽  
Real Time Operation ◽  
Evolution Algorithm ◽  
Resource System

This paper deals with the application of genetic algorithms to the operation of a water resource system in real time. A genetic algorithm was developed and applied to solve an optimization model for the operation of the system responsible for the water supply of Matsuyama City, in Japan. For comparison purposes, the same model was solved by a technique based on calculus and the Shuffled Complex Evolution Algorithm. The general characteristics of the algorithms and the results from simulations carried out for various conditions are presented. Genetic algorithms appear to be effective tools for real-time reservoir operation.

Sign in / Sign up

Export Citation Format

Share Document