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371
An Incremental Approach to the Proportional GA
"... The Proportional Genetic Algorithm (PGA) supports truly location independent solution encoding. In this paper, we propose a novel approach, called incremental building blocks, to improve the search performance of PGA. The main idea of this approach is to evolve low level building blocks individually ..."
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The Proportional Genetic Algorithm (PGA) supports truly location independent solution encoding. In this paper, we propose a novel approach, called incremental building blocks, to improve the search performance of PGA. The main idea of this approach is to evolve low level building blocks
2002b. The proportional genetic algorithm representation
"... We have developed a genetic algorithm (GA) with a new representation method which we call the proportional GA (PGA). The PGA representation focuses on the idea that it is the content rather than the order of ..."
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Cited by 1 (0 self)
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We have developed a genetic algorithm (GA) with a new representation method which we call the proportional GA (PGA). The PGA representation focuses on the idea that it is the content rather than the order of
The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
- University of Central Florida
, 2002
"... We introduce a genetic algorithm (GA) with a new representation method which we call the proportional GA (PGA). The PGA is a multi-character GA that relies on the existence or non-existence of genes to determine the information that is expressed. The information represented by a PGA individual depen ..."
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Cited by 29 (11 self)
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We introduce a genetic algorithm (GA) with a new representation method which we call the proportional GA (PGA). The PGA is a multi-character GA that relies on the existence or non-existence of genes to determine the information that is expressed. The information represented by a PGA individual
The Proportional Genetic Algorithm
, 2002
"... This paper summarizes the initial studies of a new genetic algorithm (GA) representation method which we call the proportional genetic algorithm (PGA). Additional details of this work may be found elsewhere. ..."
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Cited by 3 (0 self)
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This paper summarizes the initial studies of a new genetic algorithm (GA) representation method which we call the proportional genetic algorithm (PGA). Additional details of this work may be found elsewhere.
Performance Analysis Of Neuro Genetic Algorithm Applied On Detecting Proportion Of Components
- In Manhole Gas Mixture, International Journal of Artificial Intelligence & Applications (IJAIA). 2012
"... ABSTRACT The article presents performance analysis of a real valued neuro genetic algorithm applied for the detection of proportion of the gases found in manhole gas mixture. The neural network (NN) trained using genetic algorithm (GA) ..."
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Cited by 1 (1 self)
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ABSTRACT The article presents performance analysis of a real valued neuro genetic algorithm applied for the detection of proportion of the gases found in manhole gas mixture. The neural network (NN) trained using genetic algorithm (GA)
GA: Obesity and reproduction
- Hum Reprod
, 1997
"... Obesity produces a variety of alterations in the reproductive system and, similarly, manipula-tions of the hypothalamic-pituitary-gonadal axis produce changes in food intake, body weight and fat distribution. In men, the primary effects of obesity are a weight related reduction in testosterone and, ..."
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Cited by 9 (0 self)
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/ob) mouse. Leptin is secreted by adipose tissue in proportion to the quantity of fat and may serve as a signal to the hypothalamus that fat stores are adequate to nourish a conceptus to term. In women, parity affects obesity and obesity in turn affects the regularity of the menstrual cycle. In many
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
- in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2007
, 2007
"... The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been tested empirically on a large variety problems showing considerable reliability in distinguishing easy from hard problems. How ..."
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Cited by 7 (4 self)
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. However, neither a theoretical justification nor a theoretical analysis of the nsc have ever been given. This paper presents a modification of nsc, the fitness-proportional negative slope coefficient (fpncs), for which it is possible to give a theoretical explanation and analysis. To illustrate
Genetic Algorithm Based Proportional Integral Controller Design for Induction Motor
"... method namely Genetic Algorithm (GA) for estimation of feedback controller parameters for induction motor. GA offers certain advantages such as simple computational steps, derivative free optimization, reduced number of iterations and assured near global optima. The development of the method is well ..."
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method namely Genetic Algorithm (GA) for estimation of feedback controller parameters for induction motor. GA offers certain advantages such as simple computational steps, derivative free optimization, reduced number of iterations and assured near global optima. The development of the method
Chemical Etching of GaAs
"... A new HCI:CH3COOH:K2Cr207 system which is particularly suitable for use in etching solutions of GaAs crystals has been developed. This system can be classified into two individual regions, A and B, according to etching characteristics. The solutions in region A are light orange in color, while those ..."
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.01 to 1 ~m/min, depending on the component proportion of the solutions and/or on the normal K2Cr207 aqueous olution. Ordinary mesa-shaped structures have been formed ~n etching stripes in (001) GaAs parallel to the [110] and [110] directions. The system does not erode photo~esists, and so is attractive
Intelligent Automated Control of Life Support Systems Using Proportional Representations
, 2004
"... Effective automatic control of Advanced Life Support Systems (ALSS) is a crucial component of space exploration. An ALSS is a coupled dynamical system which can be extremely sensitive and difficult to predict. As a result, such systems can be difficult to control using deliberative and deterministic ..."
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Cited by 2 (1 self)
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. We perform experiments on three ALSS optimization problems using five strategies with multiple variations of a proportional representation for a total of 120 experiments. Results indicate that although a proportional representation can effectively boost GA performance, it does not necessarily have
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