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Bobcat Optimization Algorithm: an effective bio-inspired metaheuristic algorithm for solving supply chain

Zoubida Benmamoun1, Khaoula Khlie2, Gulnara Bektemyssova3

  • 1Liwa College, Abu Dhabi, UAE. zoubida.benmamoun@lc.ac.ae.

Scientific Reports
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

A new Bobcat Optimization Algorithm (BOA) effectively solves complex supply chain and engineering problems. This bio-inspired method balances exploration and exploitation, outperforming existing algorithms in various benchmarks.

Keywords:
Bio-inspiredBobcatExploitationExplorationMetaheuristicOptimizationSupply chain

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Area of Science:

  • Optimization Algorithms
  • Computational Intelligence
  • Supply Chain Management

Background:

  • Supply chain efficiency is critical for competitive advantage but challenging for traditional methods.
  • Bio-inspired metaheuristic algorithms offer powerful solutions for complex optimization problems.
  • The No Free Lunch theorem necessitates novel algorithms for diverse optimization tasks.

Purpose of the Study:

  • To introduce the Bobcat Optimization Algorithm (BOA), a novel metaheuristic inspired by bobcat hunting behavior.
  • To mathematically model BOA's exploration and exploitation phases.
  • To evaluate BOA's performance on benchmark test suites and real-world problems.

Main Methods:

  • Developed the Bobcat Optimization Algorithm (BOA) based on bobcat hunting strategies.
  • Modeled BOA in two phases: exploration (approaching prey) and exploitation (chasing prey).
  • Tested BOA on CEC 2017, CEC 2020, CEC 2011, and engineering design problems, comparing it with 12 other algorithms.

Main Results:

  • BOA demonstrated high performance on CEC 2017 (up to 93.10%) and CEC 2020 (100%).
  • Achieved success rates of 90.90% on CEC 2011 and 100% on engineering design problems.
  • Showcased superior performance in 100% of sustainable lot size optimization case studies.

Conclusions:

  • BOA effectively balances exploration and exploitation for superior optimization.
  • BOA exhibits significant statistical superiority over competing metaheuristic algorithms.
  • BOA is a promising tool for addressing real-world optimization challenges in supply chain management and engineering.