A Comparative Analysis of Quantum-Inspired Algorithms for Multi-Objective Optimization in Large-Scale Systems

Authors

  • Chris Miller Professor
  • Riley Martinez PhD
  • Skyler Thomas Associate Professor

Keywords:

multi-objective optimization, quantum-inspired algorithms, quantum genetic algorithms, quantum particle swarm optimization, quantum differential evolution, computational efficiency, optimization techniques

Abstract

This article investigates the efficacy of quantum-inspired algorithms in addressing complex multi-objective optimization problems prevalent in large-scale computing systems. By conducting a comparative study of three distinct quantum-inspired approaches—quantum genetic algorithms, quantum particle swarm optimization, and quantum differential evolution—we evaluate their performance in terms of convergence speed, solution quality, and computational overhead. Empirical results indicate that quantum genetic algorithms outperform their counterparts in several key metrics, thereby establishing a promising direction for future research in optimization methodologies. The findings contribute to the ongoing discourse on efficient problem-solving strategies in advanced computing, highlighting the significant potential of quantum-inspired techniques in enhancing computational efficacy.

Author Biographies

Chris Miller, Professor

Professor
Stanford University
450 Serra Mall, Stanford, CA 94305, USA

Riley Martinez, PhD

PhD
Technische Universität München
Arcisstraße 21, 80333 München, Germany

Skyler Thomas, Associate Professor

Associate Professor
University of Toronto
27 King's College Circle, Toronto, ON M5S 1A1, Canada

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Published

2025-02-11

Issue

Section

Articles