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Comparing Energetic and Immunological Selection in Agent-Based Evolutionary Optimization Read chapter Read first chapter

2006 | OriginalPaper | Chapter

GAVis System Supporting Visualization, Analysis and Solving Combinatorial Optimization Problems Using Evolutionary Algorithms

Authors : Piotr Świtalski, Franciszek Seredyński, Przemysław Hertel

Published in: Intelligent Information Processing and Web Mining

Publisher: Springer Berlin Heidelberg

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The paper presents the GAVis (Genetic Algorithm Visualization) system designed to support solving combinatorial optimization problems using evolutionary algorithms. One of the main features of the system is tracking complex dependencies between parameters of an implemented algorithm with use of visualization. The role of the system is shown by its application to solve two problems: multiprocessor scheduling problem and Travelling Salesman Problem (TSP).

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Metadata
Title
GAVis System Supporting Visualization, Analysis and Solving Combinatorial Optimization Problems Using Evolutionary Algorithms
Authors
Piotr Świtalski
Franciszek Seredyński
Przemysław Hertel
Copyright Year
2006
Publisher
Springer Berlin Heidelberg
Book
Intelligent Information Processing and Web Mining

Print ISBN: 978-3-540-33520-7

Electronic ISBN: 978-3-540-33521-4

Copyright Year: 2006

DOI
https://doi.org/10.1007/3-540-33521-8_8

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