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Golf Optimization Algorithm: A New Game-Based Metaheuristic Algorithm and Its Application to Energy Commitment

Zeinab Montazeri1, Taher Niknam1, Jamshid Aghaei2

  • 1Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 7155713876, Iran.

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Summary
This summary is machine-generated.

Researchers developed the Golf Optimization Algorithm (GOA), a novel metaheuristic technique inspired by golf. This game-based algorithm excels in optimization tasks, demonstrating superior performance and balancing exploration with exploitation.

Keywords:
energyenergy carriersexploitationexplorationgame-basedgolfmetaheuristic algorithmoptimizationreal-world applicationsresilience

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Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Metaheuristic Computing

Background:

  • The No Free Lunch theorem highlights the need for specialized optimization algorithms.
  • Existing metaheuristics may lack efficiency in balancing exploration and exploitation.
  • Game-based approaches offer novel strategies for algorithm design.

Purpose of the Study:

  • To introduce the Golf Optimization Algorithm (GOA), a new game-based metaheuristic.
  • To evaluate GOA's performance on diverse objective functions and engineering problems.
  • To demonstrate GOA's effectiveness in balancing exploration and exploitation.

Main Methods:

  • The Golf Optimization Algorithm (GOA) was developed, incorporating distinct exploration and exploitation phases.
  • GOA was tested against 52 objective functions and 4 real-world engineering applications.
  • Comparative analysis was performed against 10 established optimization algorithms.

Main Results:

  • GOA demonstrated strong proficiency in both exploration and exploitation, achieving a balanced optimization strategy.
  • Statistical analysis confirmed GOA's significant superiority over competing algorithms across various metrics.
  • GOA successfully addressed the complex energy commitment problem, including network resilience considerations.

Conclusions:

  • The Golf Optimization Algorithm (GOA) is an effective and robust metaheuristic technique.
  • GOA offers a promising alternative for solving complex optimization problems in engineering.
  • MATLAB implementation codes for GOA are provided to support the research community.