Discrete Optimization for TSP-like Genome Mapping Problems (Genetics-research and Issues)

This book introduces a discrete optimisation technique in four applications: classic Traveller Salesperson Problem (TSP), Multilocus Genetic Mapping, Multilocus Consensus Genetic Mapping, and Physical Mapping. Each of the four sections contains the problem formulation, description of the algorithm, and experimental results. The foregoing problems are solved on the basis of Guided Evolution Strategy (GES) algorithm. The algorithm was implemented in MultiPoint package. The developed analytical tools were applied in many genome mapping projects. This book introduces a discrete optimization technique in four applications: classic Traveler Salesperson Problem (TSP), Multilocus Genetic Mapping, Multilocus Consensus Genetic Mapping, and Physical Mapping. Each of the four sections contains the problem formulation, description of the algorithm, and experimental results. The foregoing problems are solved on the basis of Guided Evolution Strategy (GES) algorithm. The algorithm was implemented in MultiPoint package (http://multiqtl.com). The developed analytical tools were applied in many genome mapping projects. Guided evolution strategy algorithm for classic TSP as a basis for solving the genetic/genomic TSP-like problems Multilocus genetic mapping Multilocus consensus genetic mapping : formulation, model, and algorithms TSP-like problem in physical mapping (PMP).