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Botox Optimization Algorithm: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems.

Marie Hubálovská1, Štěpán Hubálovský1, Pavel Trojovský1

  • 1Department of Technics, Faculty of Education, University of Hradec Kralove, 50003 Hradec Králové, Czech Republic.

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This summary is machine-generated.

A new Botox Optimization Algorithm (BOA), inspired by cosmetic procedures, effectively solves complex optimization problems. This novel metaheuristic demonstrates superior performance against existing algorithms in benchmark tests.

Keywords:
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Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Metaheuristics

Background:

  • Optimization problems are prevalent across scientific and engineering disciplines.
  • Existing metaheuristic algorithms face challenges in balancing exploration and exploitation.
  • Novel approaches are needed to enhance the efficiency and effectiveness of optimization techniques.

Purpose of the Study:

  • To introduce the Botox Optimization Algorithm (BOA), a novel metaheuristic algorithm.
  • To mathematically model the BOA based on the principles of Botox operations.
  • To evaluate the BOA's performance on benchmark optimization problems.

Main Methods:

  • The BOA algorithm was formulated and mathematically modeled, drawing inspiration from Botox procedures.
  • The algorithm's performance was evaluated using the CEC 2017 test suite for unconstrained optimization.
  • Comparative analysis was conducted against twelve established metaheuristic algorithms.

Main Results:

  • The BOA demonstrated a strong ability to balance exploration and exploitation.
  • The algorithm achieved competitive solutions on the CEC 2017 benchmark functions.
  • Statistical analysis confirmed the BOA's superior performance compared to other algorithms.

Conclusions:

  • The Botox Optimization Algorithm (BOA) is a promising new metaheuristic for optimization problems.
  • The BOA shows effectiveness in both unconstrained and constrained optimization tasks.
  • The algorithm offers a novel human-inspired approach to computational intelligence.