CEC2020 Real-World Constrained Engineering Optimization Seven-Problem Suite
Description
We have assembled the “CEC2020 Real-World Constrained Engineering Optimization Seven-Problem Suite,” comprising the following benchmark problems: RC15 – Speed Reducer Weight Minimization RC17 – Tension/Compression Spring Design RC19 – Welded Beam Design RC20 – Three-Bar Truss Design RC23 – Step-Cone Pulley Design RC28 – Rolling Element Bearing Design RC31 – Gear Train Design Using this suite, we evaluated our proposed CFMINFO algorithm against three mainstream metaheuristics—GWO, DE, and SSA—the original INFO algorithm, and EnMODE (the fourth-place finisher in the CEC 2020 Real-World Single-Objective Constrained Optimization Competition). Performance was compared on each problem using the mean objective value, standard deviation, and Friedman ranking.
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Steps to reproduce
matlab