Relative Referenced Genetic Programming
نویسنده
چکیده
This paper presents a linear code referencing approach to the representation of individuals within a genetic programming scheme. This approach has been devised in order to confront various problems associated with genetic programming schemes. These are primarily the size of the available search space, the ability to pass through this search space, the construction of valid individuals after crossover and mutation, and the probability for the use of terminals and subpieces of an individual’s solution. A comparison is made with existing methods and for the problems tested the presented method gives the best results.
منابع مشابه
Modeling the efficiency of banks by cover data method and Genetic programming
Performance assessment of organizations in making strategic decisions for the future is essential. Thus, the efficiency determinations of organizations through planned economic growth in the future system loads are necessary. One of the most important indicators of performance evaluation is measuring efficiency. Banks are one of the most important economic units that provide proper conditions f...
متن کاملMonthly rainfall Forecasting using genetic programming and support vector machine
Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...
متن کاملEstimating scour below inverted siphon structures using stochastic and soft computing approaches
This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures. Dimensional analysis and nonlinear regression-based equations was proposed for estimation of maximum scour depth, location of the scour hole, location and height of the dune downs...
متن کاملBankruptcy Prediction: Dynamic Geometric Genetic Programming (DGGP) Approach
In this paper, a new Dynamic Geometric Genetic Programming (DGGP) technique is applied to empirical analysis of financial ratios and bankruptcy prediction. Financial ratios are indeed desirable for prediction of corporate bankruptcy and identification of firms’ impending failure for investors, creditors, borrowing firms, and governments. By the time, several methods have been attempted in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Complex Systems
دوره 17 شماره
صفحات -
تاریخ انتشار 2008