Natural Optimization & Genetics: Local Minimization, Bio Optimization, & Inheritance, Slides of Mathematical Methods for Numerical Analysis and Optimization

An overview of natural optimization methods, focusing on local minimization and biological optimization. It covers various categories of optimization functions, minimum-seeking algorithms, and introduces biological optimization through natural selection and genetics. Topics include chromosomes, alleles, dominance, and reproduction through mitosis and meiosis, as well as darwin's theory and the hardy-weinberg law.

Typology: Slides

2011/2012

Uploaded on 07/14/2012

randhir
randhir 🇮🇳

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Natural Optimization Methods
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Natural Optimization Methods

Review

  • Optimization
  • Local minimization vs global minimization
  • Categories: function, trial & error; single varialbe, mulitiple variables; static, dynamic; discrete, continuous; constrained, un- constrained; random, minimum seeking
  • Minimum-Seeking Algorithms: exhaustive search, analytical optimization, Nelder-Meed downhill simplex method, line optimization

Reproduction basic unit (Sperms or Egg)

Paird chromosomes

DNA

Genes

Alleles

  • First Law of Mondel: features inherited in pairs
  • same allele -> homozygous
  • Different allele -> hetrozygous
  • Observed trait: phenotype
  • Actual trait: genotype
  • Mondel’s 2nd^ law: Inheritance of one allele (for one trait) is indepedent of that of another
  • Reproduction: mitosis vs meiosis

Mitosis

  • e.g in bectaria, ameba, virus, paramecium
  • Chromosomes are copies and passed to offspring
  • No chance to change their genetics
  • Mutation can change genes only
  • Mutation: chemical, radioactivity effects

Darwin’s Theory

  • An offspring has many of the charactersitics of its parents
  • There are variations in charactersitics between individuals that can be passed from one generation of the next
  • Only a small percentage of offsprings produced survive to adulthood
  • Which of the offspring survive depends on their inherited characteristics