Using a Bio-Inspired Algorithm to Resolve the Multiple Sequence Alignment Problem

Publisher： IGI Global_journal

E-ISSN： 1947-8291|7|3|36-55

ISSN： 1947-8283

Source： International Journal of Applied Metaheuristic Computing (IJAMC), Vol.7, Iss.3, 2016-07, pp. : 36-55

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Bio-inspired algorithm for wheeled robot's navigation

By Ali Nada Kherici   Yamina Mohamed Ben  

International Journal of Artificial Intelligence and Soft Computing, Vol. 2, Iss. 4, 2011-09 ,pp. : 353-366

Inderscience Publishers

Access to resources Recommend Favorite

Nomadic genetic algorithm for multiple sequence alignment (MSANGA)

By Sathya S. Siva  

International Journal of Adaptive and Innovative Systems, Vol. 1, Iss. 1, 2008-12 ,pp. : 44-59

Inderscience Publishers

Access to resources Recommend Favorite

An Improved Generalized Quantum-Inspired Evolutionary Algorithm for Multiple Knapsack Problem

By  

International Journal of Applied Evolutionary Computation (IJAEC), Vol. 9, Iss. 1, 2018-01 ,pp. : 17-51

IGI Global_journal

Access to resources Recommend Favorite

A Modified Bio Inspired: BAT Algorithm

By  

International Journal of Applied Metaheuristic Computing (IJAMC), Vol. 9, Iss. 1, 2018-01 ,pp. : 60-77

IGI Global_journal

Access to resources Recommend Favorite

Bio-Inspired Actuation and Sensing

By Hannaford B.   Jaax K.   Klute G.  

Autonomous Robots, Vol. 11, Iss. 3, 2001-11 ,pp. : 267-272

Springer Publishing Company

Access to resources Recommend Favorite