Abstract

Since the opening of the economy, China’s regional economy has developed rapidly, the overall national strength has been increasing, and the people’s living standards have been continuously improved. The issue of coordinated regional development has become an important issue in today’s society. Genetic algorithm is a kind of prediction algorithm that has developed rapidly in recent years and is widely used. However, when solving engineering prediction problems, there are often problems such as premature convergence and easiness to fall into local optimal solutions. Therefore, on the basis of studying the related theories of genetic algorithm and artificial immune algorithm, this paper uses the advantages of the two algorithms, combines the two algorithms, and proposes an improved algorithm for genetic algorithm-adaptive immune genetic algorithm. Taking genetic algorithm as the basic framework, the operators and selection methods of artificial immune algorithm are integrated. Using the adaptive concept, the formulas of adaptive crossover probability and mutation probability are innovatively designed. Compared with the fixed value of the immune genetic algorithm, the introduction of the adaptive concept can intelligently adjust the optimization process and increase the optimization speed. Considering the double uncertain factors of product market demand and waste product recycling in the remanufacturing supply chain system, the maximization of logistics network operating profit, the minimization of environmental impact, and the maximization of customer satisfaction are the forecast goals. The market demand of uncertain products is effectively controlled through the option contract mechanism, and a multiobjective forecasting model based on the option contract mechanism is established. According to the characteristics of the model, an improved immune genetic algorithm is designed to solve the problem, and the effectiveness of the immune genetic algorithm is verified through an example.

Highlights

  • Regional development issues are no longer purely economic issues

  • As an important part of shared development, basic public services are closely related to people’s lives, and achieving equal development is an important yardstick for measuring people’s shared development results. e high-quality basic public service level allows people to have more livelihood security, and they can reduce the phenomenon of passive savings without much worry

  • Complexity extends to the reverse waste product recycling supply chain, forming a closed-loop supply chain system. erefore, the logistics network design problem of the remanufacturing supply chain system includes the forward product sales logistics network design and the reverse waste product recycling logistics network design

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Summary

Introduction

Regional development issues are no longer purely economic issues. How to improve economic quality while maintaining the growth momentum of economic development, highlighting the concept of fairness and justice, and ensuring and improving the people’s well-being are important demands of today’s social development [1,2,3]. In the study of the logistics network design of the remanufacturing supply chain, it is necessary to take into account the double uncertainties of the positive product market demand and the reverse recycling of waste products. Set theory is used to establish an uncertainty model related to market demand and inventory costs (including holding costs and delay costs) and apply this theory to a three-stage supply chain to show its feasibility [12]. E evaluation of the level of public service equalization is somewhat single, and representative indicators are rarely selected for measurement and analysis from an overall perspective.

Theoretical Analysis of the Coordinated Development of Regional Economy
Improved Immune Genetic Algorithm Design
Design of Improved Immune Genetic Algorithm
Examples and Analysis
Calculation Example Results
Full Text
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