Research and Markets: Metaheuristics: From Design to Implementation

Mon Jul 13, 2009 1:16pm EDT
 
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DUBLIN--(Business Wire)--
Research and Markets
(http://www.researchandmarkets.com/research/71cc36/metaheuristics_fr) has
announced the addition of John Wiley and Sons Ltd's new report "Metaheuristics:
From Design to Implementation" to their offering. 

A unified view of metaheuristics 

This book provides a complete background on metaheuristics and shows readers how
to design and implement efficient algorithms to solve complex optimization
problems across a diverse range of applications, from networking and
bioinformatics to engineering design, routing, and scheduling. It presents the
main design questions for all families of metaheuristics and clearly illustrates
how to implement the algorithms under a software framework to reuse both the
design and code. 

Throughout the book, the key search components of metaheuristics are considered
as a toolbox for: 

Designing efficient metaheuristics (e.g. local search, tabu search, simulated
annealing, evolutionary algorithms, particle swarm optimization, scatter search,
ant colonies, bee colonies, artificial immune systems) for optimization problems


Designing efficient metaheuristics for multi-objective optimization problems 

Designing hybrid, parallel, and distributed metaheuristics 

Implementing metaheuristics on sequential and parallel machines 

Using many case studies and treating design and implementation independently,
this book gives readers the skills necessary to solve large-scale optimization
problems quickly and efficiently. It is a valuable reference for practicing
engineers and researchers from diverse areas dealing with optimization or
machine learning; and graduate students in computer science, operations
research, control, engineering, business and management, and applied
mathematics. 

Key Topics Covered:

* Common Concepts for Metaheuristics. 
* Single-Solution Based Metaheuristics. 
* Population-Based Metaheuristics. 
* Metaheuristics for Multiobjective Optimization. 
* Hybrid Metaheuristics. 
* Parallel Metaheuristics.

For more information visit
http://www.researchandmarkets.com/research/71cc36/metaheuristics_fr





Laura Wood
Senior Manager
press@researchandmarkets.com
Fax from USA: 646-607-1907
Fax from rest of the world: +353-1-481-1716 

Copyright Business Wire 2009

 

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