Firefly Algorithm–Based Optimization of Processing Parameters for Enhanced Performance of Polymer Composite Materials

Year : 2026 | Volume : 14 | Issue : 01 | Page : 90 107
    By

    Ankit,

  • Amritpal Singh,

  1. Research Scholar, Computer Science and Engineering Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India
  2. Assistant Professor, Computer Science and Engineering Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India

Abstract

Polymer composite materials are extensively used in aerospace, automotive, and oil & gas applications due to their high strength-to-weight ratio and design flexibility. However, achieving optimal mechanical and thermal performance strongly depends on precise control of processing parameters such as curing temperature, energy consumption, and material utilization. Conventional trial-and-error approaches often lead to excessive energy usage, non-uniform curing, and sub-optimal composite properties. To address these challenges, this paper proposes an Improved Firefly Algorithm (IFA) for optimizing processing parameters in polymer composite manufacturing. The proposed approach models curing energy consumption, Process stability and property deviation, average quality deviation and material utilization as multi-objective optimization functions, aiming to minimize processing energy while maintaining uniform material performance. The algorithm dynamically adjusts process parameters based on attractiveness and distance metrics inspired by firefly behavior, enabling efficient exploration of the solution space. In the context of batches selection, FA can be employed to optimize resource allocation, minimize EC, and enhance overall system performance Simulation-based evaluation demonstrates that the proposed method achieves up to 50–57% reduction in energy-intensive process adjustments, 49–62% improvement in process reliability, and 2–7% reduction in total curing energy consumption compared to conventional optimization techniques. The results confirm that the highly newly improved Firefly Algorithm provides a robust and energy-efficient optimization framework for advanced polymer composite processing applications

Keywords: Energy-efficient curing, firefly algorithm, material utilization, metaheuristic optimization, polymer composite materials, process optimization

[This article belongs to Journal of Polymer & Composites ]

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How to cite this article:
Ankit, Amritpal Singh. Firefly Algorithm–Based Optimization of Processing Parameters for Enhanced Performance of Polymer Composite Materials. Journal of Polymer & Composites. 2026; 14(01):90-107.
How to cite this URL:
Ankit, Amritpal Singh. Firefly Algorithm–Based Optimization of Processing Parameters for Enhanced Performance of Polymer Composite Materials. Journal of Polymer & Composites. 2026; 14(01):90-107. Available from: https://journals.stmjournals.com/jopc/article=2026/view=236016


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Regular Issue Subscription Original Research
Volume 14
Issue 01
Received 23/12/2025
Accepted 26/12/2025
Published 10/01/2026
Publication Time 18 Days
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