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A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems Based on Technical and Vocational

Marie Hubalovska¹, Stepan Major¹

¹Department of Technics, Faculty of Education, University of Hradec Kralove, CZ50003 Hradec Kralove, Czech Republic.

Biomimetics (Basel, Switzerland)

|October 27, 2023

Summary

This summary is machine-generated.

A new Technical and Vocational Education and Training-Based Optimizer (TVETBO) algorithm effectively solves complex optimization problems. TVETBO demonstrates superior performance in both benchmark and real-world applications compared to existing methods.

Keywords:

education exploitation exploration human-based metaheuristic optimization technical and vocational education and training

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Area of Science:

Computational Intelligence
Optimization Algorithms
Metaheuristic Computing

Background:

Optimization problems are prevalent across scientific and engineering disciplines.
Existing metaheuristic algorithms face challenges in balancing exploration and exploitation.
A novel approach inspired by vocational training is needed to enhance optimization capabilities.

Purpose of the Study:

Introduce a new human-based metaheuristic algorithm, the Technical and Vocational Education and Training-Based Optimizer (TVETBO).
Mathematically model TVETBO based on educational phases: theory, practical, and skill development.
Evaluate TVETBO's performance on benchmark and real-world constrained optimization problems.

Main Methods:

Developed the Technical and Vocational Education and Training-Based Optimizer (TVETBO) algorithm.
Tested TVETBO on the CEC 2017 benchmark suite across various dimensions (10, 30, 50, 100).
Compared TVETBO against twelve established metaheuristic algorithms and applied it to CEC 2011 constrained problems.

Main Results:

TVETBO exhibited strong exploration, exploitation, and balance capabilities on benchmark functions.
TVETBO outperformed twelve competing algorithms on most CEC 2017 benchmark functions.
TVETBO demonstrated superior performance on CEC 2011 real-world constrained optimization problems.

Conclusions:

The proposed TVETBO algorithm is effective for solving complex optimization tasks.
TVETBO offers a promising alternative to existing metaheuristic methods.
TVETBO shows significant potential for real-world application optimization.