Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)

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A Tutorial on Child Drawing Development Optimization

Authors
Azad A. Ameen1, 2, *, Tarik A. Rashid3, Shavan Askar1
1Information Systems Engineering Department, Erbil Technical Engineering College, Erbil Polytechnic University, Erbil, Iraq
2Applied Computer Department, College of Medicals and Applied Sciences, Charmo University, Sulaymaniyah, Chamchamal, Iraq
3Computer Science and Engineering Department, University of Kurdistan Hewler, Erbil, Iraq
*Corresponding author. Email: Azad.ameen@charmouniversity.org
Corresponding Author
Azad A. Ameen
Available Online 30 January 2023.
DOI
10.2991/978-94-6463-110-4_12How to use a DOI?
Keywords
Metaheuristic; Optimization Algorithm; Child Drawing Development Optimization Algorithm
Abstract

In 2021, a novel metaheuristic algorithm inspired by the child’s learning behavior and cognitive development employs the golden ratio. The golden ratio was first presented by the renowned scientist Fibonacci. The ratio of two consecutive numbers in the Fibonacci sequence is alike, and it is named the golden ratio, which is predominant in nature, architecture, design, and art. The Child Drawing Development Optimization Algorithm implements the golden ratio and mimics cognitive learning and the child’s drawing development stages starting from the scribbling stage to the advanced pattern-based stage. This aids children with developing, refining their intelligence, and cooperatively achieving shared goals. The Child Drawing Development Optimization Algorithm is developed for single objective optimization problems, and it is also compared to Particle Swarm Optimization, Differential Evolution, Whale Optimization Algorithm, Gravitational search algorithm, and Fast Evolutionary Programming, Child Drawing Development Optimization Algorithm demonstrated its ability to handle complex optimization problems. The main contribution of this paper is to present and explains the Child Drawing Development Optimization Algorithm and uses them as models in a case study to minimize a fitness function. The initial population has been successfully fully improved as a result, and the best solution has been obtained by the Child Drawing Development Optimization Algorithm.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
Series
Advances in Computer Science Research
Publication Date
30 January 2023
ISBN
10.2991/978-94-6463-110-4_12
ISSN
2352-538X
DOI
10.2991/978-94-6463-110-4_12How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Azad A. Ameen
AU  - Tarik A. Rashid
AU  - Shavan Askar
PY  - 2023
DA  - 2023/01/30
TI  - A Tutorial on Child Drawing Development Optimization
BT  - Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
PB  - Atlantis Press
SP  - 153
EP  - 167
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-110-4_12
DO  - 10.2991/978-94-6463-110-4_12
ID  - Ameen2023
ER  -