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An improved multi-expression programming algorithm applied in function discovery and data prediction
International Journal of Information and Communication Technology, 2013This paper presents an improved multi-expression programming MEP. In the algorithm, each individual is encoded as a double-layer structure, and two-dimension space operators are introduced through two-dimension crossover and mutation. The problems of symbolic expression are defined and used as benchmarks to compare the effectiveness of proposal method ...
Qingke Zhang +3 more
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Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, 2007
Evolutionary Electronics (EE) is a research area which involves application of Evolutionary Computation in the domain of electronics. EE algorithms are generally able to find good solutions to rather small problems in a reasonable amount of time, but the need for solving more and more complex problems increases the time required to find adequate ...
Fatima Zohra Hadjam +2 more
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Evolutionary Electronics (EE) is a research area which involves application of Evolutionary Computation in the domain of electronics. EE algorithms are generally able to find good solutions to rather small problems in a reasonable amount of time, but the need for solving more and more complex problems increases the time required to find adequate ...
Fatima Zohra Hadjam +2 more
openaire +1 more source
2009
This paper presents an evolutionary method for identifying the gene regulatory network from the observed time series data of gene expression using a system of ordinary differential equations (ODEs) as a model of network. The structure of ODE is inferred by the Multi Expression Programming (MEP) and theODE's parameters are optimized by using particle ...
Bin Yang, Yuehui Chen, Qingfang Meng
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This paper presents an evolutionary method for identifying the gene regulatory network from the observed time series data of gene expression using a system of ordinary differential equations (ODEs) as a model of network. The structure of ODE is inferred by the Multi Expression Programming (MEP) and theODE's parameters are optimized by using particle ...
Bin Yang, Yuehui Chen, Qingfang Meng
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Waste Management
The municipal solid waste (MSW) management is significantly contributing to global greenhouse gas (GHG) emissions. Analyzing the emission pattern of GHGs from MSW is essential for formulating appropriate carbon mitigation policies. Based on IPCC Models, GHG emissions from MSW were calculated in Chinese provinces from 2004 to 2021 by landfilling and ...
Yuan-Yuan, Luo +4 more
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The municipal solid waste (MSW) management is significantly contributing to global greenhouse gas (GHG) emissions. Analyzing the emission pattern of GHGs from MSW is essential for formulating appropriate carbon mitigation policies. Based on IPCC Models, GHG emissions from MSW were calculated in Chinese provinces from 2004 to 2021 by landfilling and ...
Yuan-Yuan, Luo +4 more
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This chapter explores an AI-powered approach for predicting the seismic capacity of RC rectangular columns using multi-expression programming (MEP). Leveraging a database of 250 RC column specimens tested under seismic loads from the Pacific Earthquake Engineering Research (PEER) Centre, two distinct MEP models were developed for flexural and shear ...
Muhammad Faisal Javed +2 more
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Muhammad Faisal Javed +2 more
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