Randomization and Complex Networks for Meta-Heuristic Algorithms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241926" target="_blank" >RIV/61989100:27240/18:10241926 - isvavai.cz</a>

Alternative codes found

RIV/70883521:28140/18:63521808

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-662-55663-4_9" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-662-55663-4_9</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Randomization and Complex Networks for Meta-Heuristic Algorithms

Original language description

This chapter deals with the hybridization of the chaos driven heuristics concept and complex networks framework for meta-heuristic. This research aims on the experimental investigations on the time development and influence of different randomization types, different strategies for Differential Evolution (DE) through the analysis of complex network as a record of population dynamics and indices selection. The population is visualized as an evolving complex network, which exhibits non-trivial features such as adjacency graph, centralities, clustering coefficient and other attributes showing efficiency of the network. Experiments were performed for different DE strategies, several different randomization types and simple test functions.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Evolutionary Algorithms, Swarm Dynamics and Complex Networks

ISBN

978-3-662-55661-0

Number of pages of the result

18

Pages from-to

177-194

Number of pages of the book

312

Publisher name

Springer, Berlin, Heidelberg

Place of publication

Germany

UT code for WoS chapter

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