Results 241 to 250 of about 380,664 (270)

Design of flexible neural trees using multi expression programming

2008 Chinese Control and Decision Conference, 2008
Automatic designing of both architecture and parameters of an artificial neural network is an important problem. This paper introduces a new approach for designing artificial neural networks using multi expression programming (MEP-NN). The approach employs the multi expression programming to evolve the architecture and the parameters encoded in the ...
null Yuehui Chen, null Guangfeng Jia, null Liming Xiu   +2 more
openaire   +1 more source

Predicting Cement Compressive Strength Using Double-Layer Multi-expression Programming

2012 Fourth International Conference on Computational and Information Sciences, 2012
This paper presents a novel algorithm named Double-layer Multi-expression Programming (DMEP). Then DMEP model is applied to the prediction of 28-day Portland cement compressive strength. We compare DMEP model with other four soft computing models, namely Multi-Expression Programming model (MEP), Gene Expression Programming model (GEP), Neural Networks ...
Qingke Zhang, Bo Yang, Lin Wang, Fuxiang Zhu   +3 more
openaire   +1 more source

Improving Multi Expression Programming Using Reuse-Based Evaluation

2012
Multi expression programming is a linear genetic programming that dynamically determines its output from a series of genes of the chromosome. It works on a fixed-length individual, but gives rise to the complexity of the decoding process and fitness computations.
Wei Deng, Pei He
openaire   +1 more source

MERGE: A Novel Evolutionary Algorithm Based on Multi Expression Gene Programming

2008 Fourth International Conference on Natural Computation, 2008
Gene expression programming (GEP) is a new member in genetic computing. The traditional GEP lacks the power to handle very complex function mining problems due to its limited express capability. To solve the problem, this paper presents a new evolutionary algorithm named multi expression gene programming (MERGE).
Shucheng Dai, Changjie Tang, Mingfang Zhu, Yu Chen, Peng Chen, Shaojie Qiao, Chuan Li   +6 more
openaire   +1 more source

MEPIDS: Multi-Expression Programming for Intrusion Detection System

2005
An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. An IDS does not eliminate the use of preventive mechanism but it works as the last defensive mechanism in securing the system.
Crina Groşan, Ajith Abraham, and Sang Yong Han   +2 more
openaire   +1 more source

Prediction of Rapid Chloride Penetration Resistance of Metakaolin Based Concrete Using Multi-Expression Programming

Science of Advanced Materials, 2022
This study investigates the resistance of concrete to Rapid Chloride ions Penetration (RCP) as an indirect measure of the concrete’s durability. The RCP resistance of concrete is modelled in multi-expression programming approach using different input variables, such as, age of concrete, amount of binder, fine aggregate, coarse aggregate, water to ...
Hassan Ali Alkadhim, Muhammad Nasir Amin, Izaz Ahmad, Mudassir Iqbal, Kaffayatullah Khan, Mohammed Najeeb Al-Hashem, Hayat Khan, Fazal E. Jalal   +7 more
openaire   +1 more source

A Multi-Expression Programming Application to the Design of Planar Antennae

2006 12th Biennial IEEE Conference on Electromagnetic Field Computation, 2006
A method to determine functional relationships between the variable physical dimensions of an antenna and the antenna performance characteristics is presented. By applying multi-expression programming to this data set, optimization with regard to a given criteria can be subsequently performed on the functions instead of performing repeated ...
J. Braunstein, null Hyeong-Seok Kim, null Sungtek Kahng, null Sang-Hoon Ha   +3 more
openaire   +1 more source

Contour Registration Based on Multi-Expression Programming and the Improved ICP

2009 International Symposium on Computer Network and Multimedia Technology, 2009
A novel contour registration method based on Multiple-Expression Programming (MEP)and the improved Interative Closest Point (ICP) is presented. Firstly, based on the fast global minimization of the active contour model, the image contours were extracted. The feature points were obtained by means of the centroid balance sampling method.
Yanan Wang, Bo Yang, Xiuyang Zhao
openaire   +1 more source

Gene Permutation: A new Probabilistic Genetic Operator for Improving Multi Expression Programming

2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019
Multi-expression Programming (MEP) encodes multiple genes through linear representation and is a widely useful technique for tangible applications like classification, symbolic regression and digital circuit designing. MEP uses only two genetic operators (mutation, crossover) to explore the search space and exploit genetic materials.
Aftab Anjum, Mazharul Islam, Lin Wang
openaire   +1 more source

Formulation of secant and reloading soil deformation moduli using multi expression programming

Engineering Computations, 2012
PurposeThe purpose of this paper is to develop new constitutive models to predict the soil deformation moduli using multi expression programming (MEP). The soil deformation parameters formulated are secant (Es) and reloading (Er) moduli.Design/methodology/approachMEP is a new branch of classical genetic programming.
Amir Hossein Alavi, Ali Mollahasani, Amir Hossein Gandomi, Jafar Boluori Bazaz   +3 more
openaire   +1 more source