Self-Adapting, Multi-Parent Recombination Evolution Strategy Algorithm

Ivaylo Simeonov; Kalin Penev

Self-Adapting, Multi-Parent Recombination Evolution Strategy Algorithm

Ivaylo Simeonov, Kalin Penev

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

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Abstract

Evolution Strategies (ES) are algorithms similar to Genetic Algorithms (GA) which use the basic principles of natural evolution and adaptation as a method to solve optimization problems.

Original language	English
Title of host publication	Optimisation of Mobile Communication Networks
Place of Publication	UK
Publisher	Southampton Solent University
Pages	34-40
Number of pages	7
Publication status	Published - 1 Jun 2012

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@inproceedings{e2bf36a027034cdb935497c231329b83,

title = "Self-Adapting, Multi-Parent Recombination Evolution Strategy Algorithm",

abstract = "Evolution Strategies (ES) are algorithms similar to Genetic Algorithms (GA) which use the basic principles of natural evolution and adaptation as a method to solve optimization problems.",

author = "Ivaylo Simeonov and Kalin Penev",

year = "2012",

month = jun,

day = "1",

language = "English",

pages = "34--40",

booktitle = "Optimisation of Mobile Communication Networks",

publisher = "Southampton Solent University",

}

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AU - Penev, Kalin

PY - 2012/6/1

Y1 - 2012/6/1

N2 - Evolution Strategies (ES) are algorithms similar to Genetic Algorithms (GA) which use the basic principles of natural evolution and adaptation as a method to solve optimization problems.

AB - Evolution Strategies (ES) are algorithms similar to Genetic Algorithms (GA) which use the basic principles of natural evolution and adaptation as a method to solve optimization problems.

M3 - Conference contribution

SP - 34

EP - 40

BT - Optimisation of Mobile Communication Networks

PB - Southampton Solent University

CY - UK

ER -

Self-Adapting, Multi-Parent Recombination Evolution Strategy Algorithm

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