(μ +λ) Evolution Strategy with Socio-Cognitive Mutation

Aleksandra Urbanczyk; Krzysztof Kucaba; Mateusz Wojtulewicz; Marek Kisiel-Dorohinicki; Leszek Rutkowski; Piotr Duda; Janusz Kacprzyk; Xin Yao; Siang Yew Chong; Aleksander Byrski

doi:10.14313/jamris/1-2024/1

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(μ +λ) Evolution Strategy with Socio-Cognitive Mutation

Journal of Automation, Mobile Robotics and Intelligent Systems

Volume 18 (2024): Issue 1 (March 2024)

By: Aleksandra Urbanczyk, Krzysztof Kucaba, Mateusz Wojtulewicz, Marek Kisiel-Dorohinicki, Leszek Rutkowski, Piotr Duda, Janusz Kacprzyk, Xin Yao, Siang Yew Chong and Aleksander Byrski

Open Access

|Apr 2024

Abstract

Socio-cognitive computing is a paradigm developed for the last several years in our research group. It consists of introducing mechanisms inspired by inter-individual learning and cognition into metaheuristics. Different versions of the paradigm have been successfully applied in hybridizing Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithms, Differential Evolution, and Evolutionary Multi-agent System (EMAS) metaheuristics. In this paper, we have followed our previous experiences in order to propose a novel mutation based on socio-cognitive mechanism and test it based on Evolution Strategy (ES). The newly constructed versions were applied to popular benchmarks and compared with their reference versions.

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Articles in this issue

DOI: https://doi.org/10.14313/jamris/1-2024/1 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649

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Language: English

Page range: 1 - 11

Submitted on: Feb 8, 2023

Accepted on: Jul 17, 2023

Published on: Apr 13, 2024

Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

metaheuristics,

socio-cognitive computing,

global optimization

Related subjects:

Computer sciences,

Artificial intelligence,

Engineering,

Electrical engineering,

Control engineering, metrology and testing,

Mechanical engineering,

Fundamentals of mechanical engineering

© 2024 Aleksandra Urbanczyk, Krzysztof Kucaba, Mateusz Wojtulewicz, Marek Kisiel-Dorohinicki, Leszek Rutkowski, Piotr Duda, Janusz Kacprzyk, Xin Yao, Siang Yew Chong, Aleksander Byrski, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2024): Issue 1 (March 2024)