'Inversion mutation' presentation slideshows

Biologically Inspired Computing: Operators for Evolutionary Algorithms

Biologically Inspired Computing: Operators for Evolutionary Algorithms. Some basic operators. How to think of genetic operators. Selection represents our strategy for deciding which areas of the search space to focus our efforts on.

492 views • 31 slides

EAs for Combinatorial Optimization Problems

EAs for Combinatorial Optimization Problems. BLG 602E. Combinatorial Optimization Problems. optimization problems with discrete-valued variables usually integer-valued example problems MKP, TSP, graph partitioning, network flow, shortest path problems, matching, graph coloring, ....

469 views • 27 slides

Chapter 6 Chromosomes and Cell Reproduction

347 views • 14 slides

Mutation: Any change or error in DNA

Mutation: Any change or error in DNA. If mutations occur in reproductive cells, the altered gene will become part of the genetic makeup of the offspring. If mutations occur in somatic cells (body cells), the mutation will not be passed on. However, problems may arise for the individual.

227 views • 14 slides