This is a survey designed for mathematical programming people who do not know molecular biology and want to learn the kinds of combinatorial optimization problems that arise. After a brief introduction to the biology, we present optimization models pertaining to sequencing, evolutionary explanations, structure prediction and recognition. Additional biology is given in the context of the problems, including some motivation for disease diagnosis and drug discovery. Open problems are cited with an extensive bibliography, and we oer a guide to getting started in this exciting frontier
This volume is a comprehensive collection of extended contributions from the Workshop on Computation...
Scientific discovery as a combinatorial optimisation problem: How best to navigate the landscape of ...
In recent times computational algorithms inspired by biological processes and evolution are gaining ...
Computational molecular biology has emerged as one of the most exciting interdisciplinary fields, ri...
Powerpoint presentationBioinspired computation methods, such as evolutionary algorithms and ant colo...
This chapter deals with some combinatorial optimization problems arising in computational biology. W...
Bioinspired computation methods, such as evolutionary algorithms and ant colony optimization, are be...
Abstract: Combinatorial Optimization is a central sub-area in Operations Research that has found man...
The field of computational biology has experienced a tremendous growth in the past 15 years. In this...
Advances in Bio-inspired Combinatorial Optimization Problems' illustrates several recent bio-inspire...
111 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.The last part of this dissert...
In the past few years a large number of molecular biology problems have been formulated as combinato...
In the last two decades, the study of gene structure and function and molecular genetics have become...
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are ...
This book presents recent developments and new trends in Combinatorial Optimization. Combinatorial O...
This volume is a comprehensive collection of extended contributions from the Workshop on Computation...
Scientific discovery as a combinatorial optimisation problem: How best to navigate the landscape of ...
In recent times computational algorithms inspired by biological processes and evolution are gaining ...
Computational molecular biology has emerged as one of the most exciting interdisciplinary fields, ri...
Powerpoint presentationBioinspired computation methods, such as evolutionary algorithms and ant colo...
This chapter deals with some combinatorial optimization problems arising in computational biology. W...
Bioinspired computation methods, such as evolutionary algorithms and ant colony optimization, are be...
Abstract: Combinatorial Optimization is a central sub-area in Operations Research that has found man...
The field of computational biology has experienced a tremendous growth in the past 15 years. In this...
Advances in Bio-inspired Combinatorial Optimization Problems' illustrates several recent bio-inspire...
111 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.The last part of this dissert...
In the past few years a large number of molecular biology problems have been formulated as combinato...
In the last two decades, the study of gene structure and function and molecular genetics have become...
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are ...
This book presents recent developments and new trends in Combinatorial Optimization. Combinatorial O...
This volume is a comprehensive collection of extended contributions from the Workshop on Computation...
Scientific discovery as a combinatorial optimisation problem: How best to navigate the landscape of ...
In recent times computational algorithms inspired by biological processes and evolution are gaining ...