On the role of metaheuristic optimization in bioinformatics
Metaheuristic algorithms are employed to solve complex and large‐scale optimization
problems in many different fields, from transportation and smart cities to finance. This paper …
problems in many different fields, from transportation and smart cities to finance. This paper …
[图书][B] Metaheuristics for String Problems in Bio-informatics
So-called string problems are abundant in bioinformatics and computational biology. New
optimization problems dealing with DNA or protein sequences are constantly arising and …
optimization problems dealing with DNA or protein sequences are constantly arising and …
String variables for constraint-based local search
G Björdal - 2016 - diva-portal.org
String variables occur as a natural part of many computationally challenging problems from
different areas, such as computational biology (eg, protein folding, sequence alignment) …
different areas, such as computational biology (eg, protein folding, sequence alignment) …
Combinatorial Approaches for the Closest String Problem
OL Vilca - 2019 - tede.ufam.edu.br
The closest string problem (CSP) that arises in computational molecular biology and coding
theory is to find a string that minimizes the maximum Hamming distance from a given set of …
theory is to find a string that minimizes the maximum Hamming distance from a given set of …
An improved integer linear programming formulation for the closest 0-1 string problem
C Arbib, M Servilio, P Ventura - Computers & Operations Research, 2017 - Elsevier
Abstract The Closest String Problem (CSP) calls for finding an n-string that minimizes its
maximum Hamming distance from m given n-strings. Recently, integer linear programs (ILP) …
maximum Hamming distance from m given n-strings. Recently, integer linear programs (ILP) …
Optimum solution of the closest string problem via rank distance
Abstract The Closest String Problem (CSP) calls for finding an n-string that minimizes its
maximum distance from m given n-strings. Integer linear programming (ILP) proved to be …
maximum distance from m given n-strings. Integer linear programming (ILP) proved to be …
[PDF][PDF] Exact and Heuristic Hybrid Approaches for Scheduling and Clustering Problems
M Garraffa - 2016 - tesidottorato.depositolegale.it
In the modern society, the importance of taking smart decisions is universally acknowledged
in any different context. Companies, nations, individuals aim at being efficient and …
in any different context. Companies, nations, individuals aim at being efficient and …