Search
Search Results
-
Using Denoising Autoencoder Genetic Programming to Control Exploration and Exploitation in Search
Denoising Autoencoder Genetic Programming (DAE-GP) is a novel neural network-based estimation of distribution genetic programming (EDA-GP) algorithm...
-
Multivariate regression and genetic programming for prediction of backbreak in open-pit blasting
In bench blasting, backbreak is the unwanted result that causes instability to the highwall and can lead to safety hazards. Hence, it is utmost...
-
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging
Conservation efforts in remote areas, such as population monitoring, are expensive and laborious. Recent advances in satellite resolution have made...
-
Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking
Program synthesis automates the process of writing code, which can be a very useful tool in allowing people to better leverage computational...
-
Speeding up Genetic Programming Based Symbolic Regression Using GPUs
Symbolic regression has multiple applications in data mining and scientific computing. Genetic Programming (GP) is the mainstream method of solving...
-
Probabilistic Model-Building Genetic Algorithms
The previous chapter showed that variation operators in genetic and evolutionary algorithms can be replaced by learning a probabilistic model of...
-
Assessing Similarity-Based Grammar-Guided Genetic Programming Approaches for Program Synthesis
Grammar-Guided Genetic Programming is widely recognised as one of the most successful approaches for program synthesis, i.e., the task of...
-
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers
Explainable artificial intelligence (XAI) is a recent research focus, aiming to gain trust in machine learning models with clear insights into how...
-
Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming
As a scalable and lightweight infrastructure technology, containers are quickly gaining popularity in cloud data centers. However, dynamic...
-
Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites
Model diversity is essential for ensemble classifiers, which make predictions by combining predictions from multiple simpler models. While ensemble...
-
Two-phase node deployment for target coverage in rechargeable WSNs using genetic algorithm and integer linear programming
Node deployment is a matter of considerable concern in designing wireless sensor networks (WSNs). This paper studies this issue in the context of...
-
A prediction model for plastic hinge length of rectangular RC columns using gene expression programming
In the reinforced concrete (RC) columns which are exposed extreme loads such as earthquake effects, the plastic hinge length can be defined as the...
-
An interactive possibilistic programming approach for green capacitated vehicle routing problem
The green capacitated vehicle routing problem (GCVRP) has attracted the attention of many researchers recently, due to the increasing global climate...
-
TensorGP – Genetic Programming Engine in TensorFlow
In this paper, we resort to the TensorFlow framework to investigate the benefits of applying data vectorization and fitness caching methods to domain...
-
Multi-objective stock market portfolio selection using multi-stage stochastic programming with a harmony search algorithm
The problem of stock portfolio selection is one of the most critical problems in financial markets. The portfolio selection problem is to find an...
-
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression
Genetic Programming (GP) based symbolic regression is prone to generating complex models which often overfit the training data and generalise poorly...
-
Improved Memory Type Product Estimator for Population Mean in Stratified Random Sampling Under Linear Cost Function
In this article, we consider the memory type product estimator to estimate the population mean of the study variable in stratified random sampling....
-
Fog node placement using multi-objective genetic algorithm
The emergence of the Internet of Things (IoT) has paved the way for numerous activities leading to smart life, such as health care, surveillance, and...
-
The Effect Evaluation of Music Schedule Problem Based on the Improved Linear Programming Method
This paper collected the actual data of music schedule problem of Chinese colleges and universities, a new linear regression analysis method is...