Multi-Objective Majority–Minority Cellular Automata Algorithm for Global and Engineering Design Optimization

When dealing with complex models in real situations, many optimization problems require the use of more than one objective function to adequately represent the relevant characteristics of the system under consideration. Multi-objective optimization algorithms that can deal with several objective fun...

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Bibliographic Details
Published in:	Algorithms Vol. 17; no. 10; p. 433
Main Authors:	Seck-Tuoh-Mora, Juan Carlos, Hernandez-Hurtado, Ulises, Medina-Marín, Joselito, Hernández-Romero, Norberto, Lizárraga-Mendiola, Liliana
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2024
Subjects:	Algorithms Archives & records Cellular automata Complex systems Design engineering Design optimization Engineering design Exploitation Genetic algorithms Heuristic methods majority–minority cellular automata algorithm (MmCAA) Mathematical optimization metaheuristic Methods multi-objective optimization Multiple objective analysis Objectives Optimization algorithms Optimization techniques Pareto optimum Performance evaluation real-world engineering problems Source code Space density Teaching Mexico
ISSN:	1999-4893, 1999-4893
Online Access:	Get full text
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