نتایج جستجو برای: dominance based genetic algorithm

تعداد نتایج: 3828925  

The purpose of this paper is to examine the multidisciplinary design optimization (MDO) of a reentry vehicle. In this paper, optimization of a RV based on, minimization of heat flux integral and minimization of axial force coefficient integral and maximization of static margin integral along reentry trajectory is carried out. The classic optimization methods are not applicable here due to the c...

Journal: :ethno- pharmaceutical products 2014
manzar mirzahashemi pooran golkar ghasem mohamadinejad

the mode of agronomic traits inheritance was investigated in safflower (carthamus tinctorius l.) in drought stress as a new report. five generation including p1, p2, f1, f2 and f3 that derived from the cross of il.111 (drought sensitive) ×mex.22-191 (drought tolerance) were used in a randomized complete block design with two replications. generation mean analysis was used to estimate genetic pa...

2014
Richard Evan Schwartz

In this note I will explain a computational algorithm which I call the positive dominance algorithm. The input is a polynomial F ∈ R[X1, ..., Xn] and a polytope P ⊂ R. One version of the algorithm tries to verify that F > 0 on P . This version halts if and only if the the assertion is true. Another version of the algorithm tries to verify that F ≥ 0 on P . This case is more interesting, because...

Journal: :European Journal of Operational Research 2001
M. Selim Akturk Deniz Özdemir

We present a new dominance rule by considering the time-dependent orderings between each pair of jobs for the single machine total weighted tardiness problem with release dates. The proposed dominance rule provides a sucient condition for local optimality. Therefore, if any sequence violates the dominance rule then switching the violating jobs either lowers the total weighted tardiness or leav...

Journal: :iranian journal of fuzzy systems 2014
p. moallem n. razmjooy b. s. mousavi

potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...

Journal: :Behavior genetics 2003
M J H Rietveld l D Posthuma C V Dolan D I Boomsma

Sibling interaction effects are suggested by a difference in phenotypic variance between monozygotic (MZ) twins and dizygotic (DZ) twins, and a pattern of twin correlations that is inconsistent with additive genetic influences. Notably, negative sibling interaction will result in MZ correlations which are more than twice as high as DZ correlations, a pattern also seen in the presence of genetic...

Journal: :journal of agricultural science and technology 2010
f. azizi a. m. rezaie g. saeidi

the choice of an efficient breeding procedure depends to a large extent on knowledge of the genetic system controlling the character to be selected. the objective of this study was to determine genetic parameters for yield and other traits including some of the yield components under three planting densities, using analysis of generation means (p1, p2, f1, f2, bc1 and bc2) derived from crosses ...

2002
Douglas A. G. Vieira Ricardo L. S. Adriano Laurent Krähenbühl João A. Vasconcelos

In this paper, a novel approach based on handling constraints as objectives together with a modified Parks & Miller elitist technique, to solve constrained multiobjective optimization problems, is analyzed with Niched Pareto Genetic Algorithm. The performance of this approach is compared with the classical procedure of handling constraints that is the exterior penalty function method. Results a...

2009
Kenneth De Jong

This chapter describes a subarea of machine learning which is actively exploring the use of genetic algorithms as the key element in the design of robust learning strategies. After charac­ terizing the kinds of learning problems motivating this approach, a brief overview of genetic algorithms is presented. Three major approaches to using genetic algorithms for machine learn­ ing are described a...

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