Comparative study of nine metaheuristic algorithms for development of a novel metaheuristics Bhunia Optimization Algorithm research article

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Paper Title:A novel metaheuristic Bhunia Optimization Algorithm for solving engineering design problem Author Names: Pritam Kumar Pakhira(1), Avijit Duary(2), Ali Akbar Shaikh(1*) and Asoke Kumar Bhunia(1) (1)Department of Mathematics, The University of Burdwan, West Bengal, India-713104 (2)Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, India-741249 Corresponding Email:[e-mail], [e-mail], [e-mail], [e-mail] %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% # Benchmark Data: Comparative Study of nine Metaheuristic Algorithms **Date:** 2026-01-30(YYYY-MM-DD) **Software:** MATLAB Version R2024a **Environment:** Windows 11 **CPU:** Intel Core I5 1335U Mobile Series ## 1. Dataset Overview This dataset contains raw experimental results of 50 individual runs for nine optimization algorithms tested on: 1. **CEC 2022 Benchmark Suite** (Functions 1-12) 2. **Engineering Design Problems** (Three Constrained Real-world applications) ## 2. Algorithms Included The following algorithms were implemented and tested: 1. **[BOA]**: Bhunia Optimization Algorithm 2. **[ECO]**: Educational Competition Optimizer 3. **[GOA]**: Gazelle Optimization Algorithm 4. **[HLOA]**: Horned Lizard Optimization Algorithm 5. **[MSO]**: Mirage Search Optimization 6. **[PKO]**: Pied Kingfisher Optimizer 7. **[POA]**: Pufferfish Optimization Algorithm 8. **[SFOA]**:Starfish Optimization Algorithm 9. **[TLBO]**:Teaching–Learning-Based Optimization ## 3. Problem Definitions ### A. CEC 2022 Test Suite * **Dimensions:** 10 * **Functions:** F1 to F12 (as defined in the CEC 2022 technical report). ### B. Engineering Design Problems 1. **Problem 1:** [Tension/Compression Spring Design] 2. **Problem 2:** [Welded Beam Design] 3. **Problem 3:** [Three Bar Truss Design] ## 4. Directory Structure & Naming Convention The data is organized by problem type. \Raw_Data_Bhunia_Algorithm_Paper │ README.txt │ ├───CEC2022 │ BOA_CEC2022_Benchmark.csv │ ECO_CEC2022_Benchmark.csv │ GOA_CEC2022_Benchmark.csv │ HLOA_CEC2022_Benchmark.csv │ MSO_CEC2022_Benchmark.csv │ PKO_CEC2022_Benchmark.csv │ POA_CEC2022_Benchmark.csv │ SFOA_CEC2022_Benchmark.csv │ TLBO_CEC2022_Benchmark.csv │ └───Engineering_Design_Problem ├───Beam │ BOA_Beam.csv │ ECO_Beam.csv │ GOA_Beam.csv │ HLOA_Beam.csv │ MSO_Beam.csv │ PKO_Beam.csv │ POA_Beam.csv │ SFOA_Beam.csv │ TLBO_Beam.csv │ ├───Tension │ BOA_Tension.csv │ ECO_Tension.csv │ GOA_Tension.csv │ HLOA_Tension.csv │ MSO_Tension.csv │ PKO_Tension.csv │ POA_Tension.csv │ SFOA_Tension.csv │ TLBO_Tension.csv │ └───Truss BOA_Truss.csv ECO_Truss.csv GOA_Truss.csv HLOA_Truss.csv MSO_Truss.csv PKO_Truss.csv POA_Truss.csv SFOA_Truss.csv TLBO_Truss.csv