Time is On The Side of Grammatical Evolution

Aidan Murphy; Ayman Youssef; Krishn Kumar Gupt; Muhammad Adil Raja; Conor Ryan

doi:10.1109/ICCCI50826.2021.9402392

Time is On The Side of Grammatical Evolution

Aidan Murphy
, Ayman Youssef
, Krishn Kumar Gupt
, Muhammad Adil Raja
, Conor Ryan

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

Abstract

The computational complexity of Evolutionary Algorithms (EAs) is a well-known concern. This paper is concerned with the resource consumption of GELAB, a novel Grammatical Evolution (GE) system implemented in Matlab. GE is an evolutionary technique for program search that manipulates large populations of computer programs over multiple generations. In this paper, we present our reflections on some recently conducted experiments with GELAB. GELAB leverages the power of Matlab to perform hybrid optimization on its individuals. The results show that we can substantially decrease computation time without compromising the accuracy of the system.

Original language	Undefined/Unknown
Title of host publication	International Conference on Computer Communication and Informatics (ICCCI)
ISBN (Electronic)	9781728158754
DOIs	https://doi.org/10.1109/ICCCI50826.2021.9402392
Publication status	Published - 27 Jan 2021

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10.1109/ICCCI50826.2021.9402392

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title = "Time is On The Side of Grammatical Evolution",

abstract = "The computational complexity of Evolutionary Algorithms (EAs) is a well-known concern. This paper is concerned with the resource consumption of GELAB, a novel Grammatical Evolution (GE) system implemented in Matlab. GE is an evolutionary technique for program search that manipulates large populations of computer programs over multiple generations. In this paper, we present our reflections on some recently conducted experiments with GELAB. GELAB leverages the power of Matlab to perform hybrid optimization on its individuals. The results show that we can substantially decrease computation time without compromising the accuracy of the system.",

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doi = "10.1109/ICCCI50826.2021.9402392",

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AU - Murphy, Aidan

AU - Youssef, Ayman

AU - Gupt, Krishn Kumar

AU - Raja, Muhammad Adil

AU - Ryan, Conor

PY - 2021/1/27

Y1 - 2021/1/27

N2 - The computational complexity of Evolutionary Algorithms (EAs) is a well-known concern. This paper is concerned with the resource consumption of GELAB, a novel Grammatical Evolution (GE) system implemented in Matlab. GE is an evolutionary technique for program search that manipulates large populations of computer programs over multiple generations. In this paper, we present our reflections on some recently conducted experiments with GELAB. GELAB leverages the power of Matlab to perform hybrid optimization on its individuals. The results show that we can substantially decrease computation time without compromising the accuracy of the system.

AB - The computational complexity of Evolutionary Algorithms (EAs) is a well-known concern. This paper is concerned with the resource consumption of GELAB, a novel Grammatical Evolution (GE) system implemented in Matlab. GE is an evolutionary technique for program search that manipulates large populations of computer programs over multiple generations. In this paper, we present our reflections on some recently conducted experiments with GELAB. GELAB leverages the power of Matlab to perform hybrid optimization on its individuals. The results show that we can substantially decrease computation time without compromising the accuracy of the system.

UR - https://doi.org/10.1109/ICCCI50826.2021.9402392

U2 - 10.1109/ICCCI50826.2021.9402392

DO - 10.1109/ICCCI50826.2021.9402392

M3 - Conference contribution

BT - International Conference on Computer Communication and Informatics (ICCCI)

ER -

Time is On The Side of Grammatical Evolution

Abstract

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