ItemConference Paper

A Hybrid Genetic Algorithm and Large Language Model Approach for Agricultural Products Price Optimization

Title
A Hybrid Genetic Algorithm and Large Language Model Approach for Agricultural Products Price Optimization
Creator
Biswas, Anushka; John Joshua, H.; Kalpana, P.; Vasanth, U.; Ramakrishna Gondkar, Raju; Jose, Teena
Description
This paper introduces a hybrid approach, based on Genetic Algorithm (GA) and Large Language Models (LLMs), namely Mixtral 8x7B, to optimize pricing strategies for agricultural products. The method processes real-time market data, using Machine Learning (ML) techniques to generate competitive and profitable price recommendations. GAs allow for adaptive optimization, while LLMs capture complex trends in the market, making this approach more precise with respect to the pricing strategy. Case studies related to onions and tomatoes illustrate the efficiency of the optimization process. The outcome shows that the optimized prices achieve a fitness score of 0.915 (onions) and a competitive index of 0.89 (onions) compared to the market averages. Compared to traditional methods, the proposed hybrid model provides a better approach towards decision making through multi-objective optimization and real-time data analysis. This research contributes to improved profitability for farmers by adopting sustainable pricing strategies and agricultural market efficiency. 2025 IEEE.
Source
2nd International Conference on Electronics, Computing, Communication and Control Technology, ICECCC 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Agricultural Price Optimization; Farm Profitability; Genetic Algorithms; Large Language Models; Machine Learning; Market Efficiency; Mixtral 8x7B; Sustainable Agriculture
Coverage
Biswas A., Christ University, Dept. of Computer Science, Karnataka, Bangalore, India; John Joshua H., Christ University, Dept. of Computer Science, Karnataka, Bangalore, India; Kalpana P., Christ University, Dept. of Computer Science, Karnataka, Bangalore, India; Vasanth U., Christ University, Dept. of Computer Science, Karnataka, Bangalore, India; Ramakrishna Gondkar R., Christ University, Dept. of Computer Science, Karnataka, Bangalore, India; Jose T., Christ University, Dept. of Computer Science, Karnataka, Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833152162-2;
Format
online
Language
English
Type
Conference paper

Citation

Biswas, Anushka; John Joshua, H.; Kalpana, P.; Vasanth, U.; Ramakrishna Gondkar, Raju; Jose, Teena, “A Hybrid Genetic Algorithm and Large Language Model Approach for Agricultural Products Price Optimization,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25991.

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