SimLogicTSA: Similarity and Logic Gate-Based Tree-Seed Algor

SimLogicTSA: Similarity and Logic Gate-Based Tree-Seed Algorithms for Binary Optimization
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Updated 26 Jul 2025

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SimLogicTSA: Similarity and Logic Gate-Based Tree-Seed Algorithms for Binary Optimization
This repository contains the official MATLAB implementation of SimLogicTSA, a Tree-Seed Algorithm (TSA) modified with Similarity Measures and Logic Gate-Based Operators for solving binary optimization problems.
Ahmet Cevahir Cinar, Mustafa Servet Kiran,
Similarity and Logic Gate-Based Tree-Seed Algorithms for Binary Optimization,
Computers & Industrial Engineering, Volume 115, 2018, Pages 631–646.
🌱 Algorithm Overview
SimLogicTSA introduces binary versions of the TSA by:
  • Utilizing Hamming distance as a similarity measure to guide search
  • Integrating XOR, AND, and OR logic operators to update seed solutions
  • Applying different transformation strategies for diversification and intensification
Tested on benchmark binary optimization problems from the literature.
📁 Contents
  • SimLogicTSAAll.m: Main script for running SimLogicTSA
  • text/: Includes binary benchmark functions
  • sonuclar/: Performance summaries and plots
🛠 Requirements
  • MATLAB R2015b or later
  • No external toolbox required
📌 Citation
Please cite the following if you use this code:
@article{cinar2018slgtsa,
title = {Similarity and Logic Gate-Based Tree-Seed Algorithms for Binary Optimization},
author = {Cinar, Ahmet Cevahir and Kiran, Mustafa Servet},
journal = {Computers & Industrial Engineering},
volume = {115},
pages = {631-646},
year = {2018},
doi = {10.1016/j.cie.2017.12.009},
url = {https://www.sciencedirect.com/science/article/pii/S0360835217305752}
}
🤝 Contact & Collaboration
For collaboration or questions:
🔗 LinkedIn: Ahmet Cevahir Çınar

Cite As

@article{cinar2018slgtsa, title = {Similarity and Logic Gate-Based Tree-Seed Algorithms for Binary Optimization}, author = {Cinar, Ahmet Cevahir and Kiran, Mustafa Servet}, journal = {Computers & Industrial Engineering}, volume = {115}, pages = {631-646}, year = {2018}, doi = {10.1016/j.cie.2017.12.009}, url = {https://www.sciencedirect.com/science/article/pii/S0360835217305752} }

MATLAB Release Compatibility
Created with R2025a
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Version Published Release Notes
1.0.0