GELAB and Hybrid Optimization Using Grammatical Evolution

Muhammad Adil Raja; Aidan Murphy; Conor Ryan

doi:10.1007/978-3-030-62362-3_26

GELAB and Hybrid Optimization Using Grammatical Evolution

Muhammad Adil Raja
, Aidan Murphy
, Conor Ryan

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

Abstract

Grammatical Evolution (GE) is a well known technique for program synthesis and evolution. Much has been written in the past about its research and applications. This paper presents a novel approach to performing hybrid optimization using GE. GE is used for structural search in the program space while other meta-heuristic algorithms are used for numerical optimization of the searched programs. The hybridised GE system was implemented in GELAB, a Matlab toolbox for GE.

Original language	Undefined/Unknown
Title of host publication	Intelligent Data Engineering and Automated Learning – IDEAL 2020
Pages	292-303
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-030-62362-3_26
Publication status	Published - 2020

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10.1007/978-3-030-62362-3_26

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title = "GELAB and Hybrid Optimization Using Grammatical Evolution",

abstract = "Grammatical Evolution (GE) is a well known technique for program synthesis and evolution. Much has been written in the past about its research and applications. This paper presents a novel approach to performing hybrid optimization using GE. GE is used for structural search in the program space while other meta-heuristic algorithms are used for numerical optimization of the searched programs. The hybridised GE system was implemented in GELAB, a Matlab toolbox for GE.",

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AU - Ryan, Conor

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AB - Grammatical Evolution (GE) is a well known technique for program synthesis and evolution. Much has been written in the past about its research and applications. This paper presents a novel approach to performing hybrid optimization using GE. GE is used for structural search in the program space while other meta-heuristic algorithms are used for numerical optimization of the searched programs. The hybridised GE system was implemented in GELAB, a Matlab toolbox for GE.

UR - https://doi.org/10.1007/978-3-030-62362-3_26

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M3 - Chapter

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EP - 303

BT - Intelligent Data Engineering and Automated Learning – IDEAL 2020

ER -

GELAB and Hybrid Optimization Using Grammatical Evolution

Abstract

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