£98.40

Springer - Multiobjective Optimization Algorithms for Bioinformatics

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Description

Explore the intersection of advanced computational methods and biological sciences with this comprehensive text from Springer. This book offers an updated and in-depth introduction to applying multiobjective optimization techniques within the bioinformatics field. It is designed to help readers navigate complex real-world problems by presenting practical multiobjective solutions. To build a strong foundation, the authors provide a self-contained introduction to essential methodical constructions. You will learn about genetic algorithms, multiobjective optimization, and data mining, alongside an overview of current challenges in the bioinformatics domain. After establishing these core concepts, the text moves into systematic applications, demonstrating how these techniques solve actual biological data problems. This resource serves as a valuable guide for those looking to understand how optimization algorithms can be implemented to address the specific needs of modern bioinformatics research.

Key Features

Provides an updated and in-depth introduction to multiobjective optimization techniques specifically for bioinformatics applications.

Offers practical multiobjective solutions designed to address a range of complex, real-world bioinformatics problems.

Includes a self-contained guide to essential preliminary methods like genetic algorithms and data mining.

Covers foundational concepts in multiobjective optimization to ensure a clear understanding of the methodology.

Explores current challenges within the bioinformatics domain to provide context for modern research needs.

Features systematic applications of optimization techniques to real-world biological data scenarios.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 May 2024
Listed Since
08 February 2024

Barcode

No barcode data available

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