نتایج جستجو برای: multi gene genetic programming

تعداد نتایج: 2225350  

2004
Katya Rodríguez-Vázquez Carlos Oliver-Morales

This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Programming (GP) has been previously applied to this kind of regression. However, one of the main drawbacks of GP is the fact that individuals tend to grow in size through the evolution process without a significant impr...

Journal: :international journal of supply and operations management 2015
abolfazl kazemi vahid khezrian mahsa oroojeni mohammad javad alireza alinezhad

in this study, a bi-objective model for integrated planning of production-distribution in a multi-level supply chain network with multiple product types and multi time periods is presented. the supply chain network including manufacturers, distribution centers, retailers and final customers is proposed. the proposed model minimizes the total supply chain costs and transforming time of products ...

Journal: :journal of optimization in industrial engineering 2011
seyed mohsen mousavi seyed hamidreza pasandideh

in this article, a finite horizon, multi product and multi period economic order quantity like seasonal items is considered where demand rate is deterministic and known but variable in each period. the order quantities of items come in batch sizes and the end of the period order quantity and, consequently, demand of customers are zero. in addition, storage space is constrained and the problem ...

2009
JERZY BALICKI

Decision making for complex systems is based on multi-criterion-optimization. A decision making support can be applied to find the Pareto solutions. Multi-criterion tabu programming is a new paradigm for that task. Similarly to rules applied in the genetic programming, tabu programming solves problems by using a tabu algorithm that modifies some computer programs. We consider the multi-criterio...

Journal: :CoRR 2014
Indranil Pan Daya Shankar Pandey Saptarshi Das

In this paper, a nonlinear symbolic regression technique using an evolutionary algorithm known as multi-gene genetic programming (MGGP) is applied for a data-driven modelling between the dependent and the independent variables. The technique is applied for modelling the measured global solar irradiation and validated through numerical simulations. The proposed modelling technique shows improved...

Journal: :International Journal of Computer Applications 2015

Background: Sexual reproduction affords the stands for conserving genetic characteristics and sequentially, genetic inconsistency may influence the capability to imitate. Materials and Methods: Research was conducted by subject in PubMed and other databases. Results: A significant number of genotypes have been related with infertility phenotypes and evaluation of precise genes in humans and mod...

2018
Catherine E Lipovsky Brittany D Brumback Aditi Khandekar Stacey L Rentschler

The left and right ventricles of the four-chambered heart have distinct developmental origins and functions. Chamber-specific developmental programming underlies the differential gene expression of ion channel subunits regulating cardiac electrophysiology that persists into adulthood. Here, we discuss regional specific electrical responses to genetic mutations and cardiac stressors, their clini...

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