Title: Multi-objective scheduling model of green production based on genetic algorithm under agricultural supply side structure
Authors: Puguang Hou; Jiawen Wu
Addresses: Department of Economics, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China ' Department of Economics, University of Connecticut, Storrs, Connecticut, USA
Abstract: In order to improve the comprehensive economic, ecological and social benefits, a multi-objective scheduling model of green production based on the supply side structure of agriculture is proposed. The objective function is constructed from three aspects of economic benefit, social benefit and ecological benefit respectively. The inheritance algorithm is introduced to iteratively select operation, cross operation and variation operation, so as to achieve the optimal generation of the conditions, so that the optimal scheduling solution of the multi-objective scheduling model is obtained. The experimental results show that the error rate of temperature and humidity data acquisition is less than 0.01%, which can achieve multi-objective scheduling of green production with high precision. The output value of planting, animal husbandry, forestry and fishery all increased by 0.01-1 billion Yuan. The research method can obviously improve the output value of each industry and has a better application prospect.
Keywords: agricultural supply side structure; green production; multi-objective scheduling.
International Journal of Product Development, 2020 Vol.24 No.2/3, pp.146 - 162
Received: 30 Dec 2019
Accepted: 15 Jun 2020
Published online: 26 Sep 2020 *