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What is Genotype

Handbook of Research on Manufacturing Process Modeling and Optimization Strategies
Full hereditary information of organism, used in GA and GP.
Published in Chapter:
Efficiency Analysis of Genetic Algorithm and Genetic Programming in Data Mining and Image Processing
Ayan Chatterjee (Sarboday Public Academy, India) and Mahendra Rong (Bangabasi Evening College, India)
DOI: 10.4018/978-1-5225-2440-3.ch016
Abstract
Today, in the age of artificial intelligence and machine learning, Data mining and Image processing are two important platforms. GA and GP are value based and program based randomized searching tools respectively and these two are very much useful in the fields' data mining and image processing for handling different issues. In this chapter, a review is made on ability of GA and GP in some applications of these two fields. Here, the selected subfields of data mining are market analysis, fraud detection, risk management, sports analysis, protein interaction, classification of data, drug discovery and feature construction. The similar in image processing are enhancement and segmentation of images, face recognition, photo mosaic generation, data embedding, image pattern classification, object detection and Graphics Processor Unit (GPU) development. The efficiencies of GA and GP in these particular applications are analyzed with corresponding parameters, comparing with other non-GA and non-GP approaches of the corresponding subfields.
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Evolved Synthesis of Digital Circuits
Describe the genetic constitution of an individual, that is the specific allelic makeup of an individual. In evolvable hardware it consist in a vector of configuration bits.
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PheGeeatHome: A Grid-Based Tool for Comparative Genomics
A genotype is the genetic constitution of a cell, an organism, or an individual.
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Genes: Modes of Inheritance
The actual alleles present in an individual.
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Genetic Processes Facilitating Pathogen Emergence
A unique combination of genetic markers. Genetic markers can include stretches of DNA sequence or a combination of SNPs.
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Higher Dimensions in the Theory of Heredity
A set of genes of a given cell or organism.
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ANN Development with EC Tools: An Overview
The representation of an individual on an entire collection of genes which the crossover and mutation operators are applied to.
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Evolutionary Algorithms
Set of parameters allowing representation of a solution to a problem.
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Evolving Graphs for ANN Development and Simplification
The representation of an individual on an entire collection of genes which the crossover and mutation operators are applied to.
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Genetic Algorithms in Multimodal Search Space
Set of values (real, binary, …) that codifies the internal solution representation to which the crossover and mutation operators are applied.
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