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This research evaluates the effectiveness of the Plant Growth Optimization algorithm in solving constrained nonlinear optimization problems.

March 15, 2026Eng—Advances in EngineeringOpen Access

Performance Evaluation of the Plant Growth Optimization Algorithm for Constrained Nonlinear Optimization

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Authors

HÁHugo Martínez ÁngelesAutonomous University of Queretaro CRCesar Augusto Navarro RubioAutonomous University of Queretaro JMJosé Gabriel Ríos Moreno

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Implication

Performance evaluation shows Plant Growth Optimization stability in constrained nonlinear optimization, indicating robustness against other algorithms.

Key Points

This research evaluates the effectiveness of the Plant Growth Optimization algorithm in solving constrained nonlinear optimization problems.
Implemented Plant Growth Optimization algorithm in MATLAB
Assessed convergence dynamics and dispersion through 20 independent runs
Conducted comparative analysis with Particle Swarm Optimization, Genetic Algorithms, and Differential Evolution
PGO achieved stable convergence in 87 generations
Consistently found feasible solutions near the constraint boundary
Statistical validation confirmed significant performance differences among the algorithms

Cite This Study

Ángeles et al. (2026) studied this question.

synapsesocial.com/papers/69b5ff8083145bc643d1c347 https://doi.org/10.3390/eng7030132

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Implication

Performance evaluation shows Plant Growth Optimization stability in constrained nonlinear optimization, indicating robustness against other algorithms.

Performance Evaluation of the Plant Growth Optimization Algorithm for Constrained Nonlinear Optimization

Discussion

Member takes

Implication

Key Points

Cite This Study

Performance Evaluation of the Plant Growth Optimization Algorithm for Constrained Nonlinear Optimization

Discussion

Member takes

Implication

Key Points

Cite This Study

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