Enhancing Community Detection With Hybrid Quantum-Inspired Evolutionary Algorithms

Akshat Gaurav, Achit Katiyar, Brij Bhooshan Gupta · 2025

The chapter expands upon the concepts of using hybrid QIEAs in enhancing the existing community detection networks. Thus, as communities are becoming more digital the untold need for sophisticated algorithms that can handle and coordinate interactions is becoming critical. In this chapter, the reader will be introduced to the general concepts of quantum computing and an overview of the technique of evolutionary algorithms, which will allow the subsequent detailed elaboration of the interconnection between the two fields. In this chapter, we first introduce the idea of the development and usage of the hybrid QIEAs, focusing on the theoretical methods to integrate the classical and quantum information for solving problems that cannot be approached by the traditional EA.

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