Optimization and simulation of intelligent aquaponics system using evolutionary algorithms
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This study presents a smart aquaponics system that integrates Internet of Things (IoT) monitoring with evolutionary optimization methods like Genetic Algorithm, Simulated Annealing, and Particle Swarm Optimization to regulate pH, temperature, and total dissolved solids. The approach improves plant growth, strengthens system stability, and supports sustainable freshwater food production.
Int. J. Lim., 62 (2026) 4
Published online: 25 February 2026
DOI: 10.1051/limn/2025013