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This paper presents the coupling of a building thermal simulation code with genetic algorithms (GAs). GAs are randomized search algorithms that are based on the mechanisms of natural selection and genetics. We show that this coupling allows the location of defective sub-models of a building thermal model i.e. parts of model that are responsible for the disagreements between measurements and mod...

Genetic algorithms (GA) are stochastic search techniques based on the mechanics of natural selection and natural genetics. In this paper, the adaptive genetic algorithms are applied to solve the portfolio selection problem in which there exist both probability constraint on the lowest return rate of portfolio and lower and upper bounds constraints on the investment rates to assets. First, the s...

| Evolutionary algorithms are powerful techniques for optimisation whose operation principles are inspired by natural selection and genetics. In this paper we discuss the relation between evolutionary techniques, numerical and classical search methods and we show that all these methods are instances of a single more general search strategy, which we call thèevolutionary computation cookbook'. B...

Genetic Algorithms (GAs) are systems based upon principles from biological genetics that have been used in function optimization. However, traditional GAs have shown to be inadequate in some cases, specially multimodal functions. Niching Methods allow genetic algorithms to maintain a population of diverse individuals. GAs that incorporate these methods are capable of locating multiple, optimal ...

| Evolutionary algorithms are powerful techniques for optimisation whose operation principles are inspired by natural selection and genetics. In this paper we discuss the relation between evolutionary techniques, numerical and classical search methods and we show that all these methods are instances of a single more general search strategy, which we call thèevolutionary computation cookbook'. B...

conclusions our findings indicated that mdm2 40-bp ins/del polymorphism was not associated with all in our iranian population. further studies with larger sample sizes and diverse ethnicities are required to verify our findings. background the human murine double minute 2 (mdm2), an oncoprotein, is the major negative regulator of p53. objectives the purpose of this study was to evaluate the imp...

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cancer is a genetic-epigenetic based disease which contains a complex of alterations that cause irreversible transformation of cells with a new anarchic behavior. tumor suppressor inactivation and/or oncogene activation will lead to tumorigenesis. based on the genetic alteration in germ or somatic cells, the affected person will have a different fate of cancer incidence or inheritable cancer su...