MBHGA: A Matrix-Based Hybrid Genetic Algorithm for Solving an Agent-Based Model of Controlled Trade Interactions

MBHGA: A Matrix-Based Hybrid Genetic Algorithm for Solving an Agent-Based Model of Controlled Trade Interactions

The article discusses the development and study of a new matrix-based hybrid genetic algorithm (MBHGA) for solving an agent-based model of firms’ behavior with controlled trade interactions. The proposed model employs symmetric strategies optimized using the MBHGA algorithm. This algorith...

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Bibliographic Details
Main Author: Andranik S. Akopov
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multiagent systems
genetic algorithms
agent-based modeling
controlled trade interactions
matrix crossover
hybrid optimization algorithms
Online Access:https://ieeexplore.ieee.org/document/10876119/
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https://ieeexplore.ieee.org/document/10876119/

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