A genetic algorithm and associated fitness computation are described and utility then investigated through MATLAB simulation. It is demonstrated that the technique is effective in investigating local stability properties of iterative dynamic optimisation, such as online batch DISOPEdoi:10.1016/S1474-6670(17)41298-5P.D. Ro...
To optimize PTV margins for single isocenter multiple metastases stereotactic radiosurgery through a genetic algorithm (GA) that determines the maximum effective displacement of each target (GTV) due to rotations. Method 10 plans were optimized. The plans were created with Elements Multiple Mets™ (...
The performance characteristics of various genetic algorithm operators were tested, and the optimal configuration was then applied to the cylinder with integral floor model with good resultsdoi:info:doi/10.3397/1.2828399Simpson, Marc T.Hansen, Colin H....
Use of a genetic algorithm to improve the rail profile on Stockholm Underground, Proc. 21st Int. Association for Vehicle System Dynamics Symp., Stockholm, Sweden.I. Persson, R. Nilsson, U. Bik, M. Lundgren, S.D. Iwnicki, Use of a genetic algorithm to improve the rail profile on ...
Nowadays, the use of nature and genetic-inspired optimization methods for solving engineering problems is becoming recurrent. One of the most popular methods is the Genetic Algorithm (GA) optimization search. Genetic algorithms [1-4] are random search techniques based on the survival of the fittest...
This paper is dealing with selection of an optimum set of test frequencies in the complex process of analog circuits testing. Genetic algorithm is used as a method for frequency selection. This approach enhances quality and speeds up finding suboptimal solution by finding more then one good result...
This paper provides a review of the use of genetic algorithms to solve operations problems. Reviewed papers are classified according to the problems they solve. The basic design of each genetic algorithm is described, the shortcomings of the current research are discussed and directions for future ...
Use of a genetic algorithm to optimize systems with complex structuresdoi:10.1364/OPEX.12.000531Wei, HuaiTong, ZhiJian, ShuishengOe/12/4/oe Pdf
Node.js native library performing technical analysis over an OHLC dataset with use of genetic algorithm. The result of technical analysis are two binary trees describing strategies for buy and sell signals which produced profit in a certain period of time specified by the input OHLC data set. ...
The methodology employed in this research would be addressed in more depth followed by a quick review of GEP and MEP. 2.1. Gene expression programming (GEP) The fixed size strings are used in genetic algorithm (GA). Koza extended GA, and suggested an alternative solution known as genetic ...