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Table 3 Comparison of evolutionary algorithms for MGEM

From: RETRACTED ARTICLE: Multi-objective energy management in microgrids with hybrid energy sources and battery energy storage systems

Optimization method Objective function value Total cost ($) Total emission penalty ($) Total power loss (kwh) Convergence (Iterations) Execution time
PSO (Particle Swarm Optimization) 0.5944 284.28 78.23 65.75 930 6 min
GA (Genetic Algorithm) 1.1324 1000 7 min
DE (Differential Evaluation) 1.752 1000 6 min
TS (Tabu Search) 0.6069 289.35 83.08 61.86 810 12 min
TLBO (Reaching Learning Based Optimization) 0.5937 283.84 81.90 63.38 970 10 min
ICA (Imperialist Competitive Algorithm) 1.769 1000 6 min
BBO (Biogeography) 5.89 1000 15 min
ABC (Artificial Bee Colony) 0.7926 290.60 84.07 65.08 760 13 min
GAMS 0.567 280.48 81.51 62.88 12 s