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Springer Evolutionary Multi-Criterion Optimization EMO 2005

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Description

Explore the complex field of multicriterion optimization with this specialized volume from the Third International Conference, EMO 2005. Held in Guanajuato, Mexico, these proceedings provide a deep look into problems involving two or more objectives that often conflict with one another. Because these problems require finding a set of solutions rather than a single answer, understanding Pareto optimal solutions is essential for effective decision making. This book covers the methods used to find or approximate these trade-off solutions. It specifically focuses on the role of evolutionary algorithms, which have been used for over two decades to solve these types of optimization challenges. As these algorithms have gained popularity over the last 10 years, this collection serves as a vital resource for researchers and professionals interested in the mathematical and computational approaches to managing multiple objectives simultaneously. This text is part of the Lecture Notes in Computer Science series (3410), offering a structured look at the advancements made in the field during the 2005 conference.

Key Features

Covers multicriterion optimization problems involving two or more conflicting objectives.

Focuses on the identification and approximation of Pareto optimal solutions.

Explores the application of evolutionary algorithms used for solving complex problems.

Contains proceedings from the Third International Conference, EMO 2005 in Mexico.

Part of the recognized Lecture Notes in Computer Science series, volume 3410.

Provides technical insights into trade-offs among multiple objectives.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 February 2005
Listed Since
10 December 2006

Barcode

No barcode data available

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