Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories
Bloat is an excess of code growth without a corresponding improvement in fitness. This is a
serious problem in Genetic Programming, often leading to the stagnation of the evolutionary …
serious problem in Genetic Programming, often leading to the stagnation of the evolutionary …
[PDF][PDF] An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment
Global climate models (GCMs) are the primary tools to simulate multi-decadal climate
dynamics and to generate global climate change projections under different future emission …
dynamics and to generate global climate change projections under different future emission …
Examining feasibility of developing a rock mass classification for hard rock TBM application using non-linear regression, regression tree and generic programming
A Salimi, J Rostami, C Moormann… - Geotechnical and …, 2018 - Springer
Geotechnical and geological parameters have the greatest impact on the performance of
hard rock tunnel boring machines (TBMs). This includes the rock and rock mass properties …
hard rock tunnel boring machines (TBMs). This includes the rock and rock mass properties …
Automatic feature extraction using genetic programming: An application to epileptic EEG classification
This paper applies genetic programming (GP) to perform automatic feature extraction from
original feature database with the aim of improving the discriminatory performance of a …
original feature database with the aim of improving the discriminatory performance of a …
Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-Part 1: Concepts and methodology
A comprehensive data driven modeling experiment is presented in a two-part paper. In this
first part, an extensive data-driven modeling experiment is proposed. The most important …
first part, an extensive data-driven modeling experiment is proposed. The most important …
Prediction of soil–water characteristic curve using genetic programming
A Johari, G Habibagahi… - Journal of Geotechnical …, 2006 - ascelibrary.org
In this technical note, a genetic programming (GP) approach is employed to predict the soil–
water characteristic curve (SWCC) of soils. The GP model requires an input terminal set that …
water characteristic curve (SWCC) of soils. The GP model requires an input terminal set that …
Towards an ensemble based system for predicting the number of software faults
SS Rathore, S Kumar - Expert Systems with Applications, 2017 - Elsevier
Software fault prediction using different techniques has been done by various researchers
previously. It is observed that the performance of these techniques varied from dataset to …
previously. It is observed that the performance of these techniques varied from dataset to …
JCLEC: a Java framework for evolutionary computation
In this paper we describe JCLEC, a Java software system for the development of
evolutionary computation applications. This system has been designed as a framework …
evolutionary computation applications. This system has been designed as a framework …
Application of rock mass classification systems for performance estimation of rock TBMs using regression tree and artificial intelligence algorithms
A Salimi, J Rostami, C Moormann - Tunnelling and Underground Space …, 2019 - Elsevier
Existing rock mass classification systems, such as Rock Quality Index “Q”, Geological
Strength Index (GSI), and Rock Mass Rating (RMR) are often used in many empirical design …
Strength Index (GSI), and Rock Mass Rating (RMR) are often used in many empirical design …
A genetic programming model for real-time crash prediction on freeways
This paper aimed at evaluating the application of the genetic programming (GP) model for
real-time crash prediction on freeways. Traffic, weather, and crash data used in this paper …
real-time crash prediction on freeways. Traffic, weather, and crash data used in this paper …