CEC2020 Real-World Constrained Engineering Optimization Seven-Problem Suite
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https://ieee-dataport.org/documents/cec2020-real-world-constrained-engineering-optimization-seven-problem-suite-5
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Using this suite, we evaluated our proposed CFMINFO algorithm against three mainstream metaheuristics\u2014GWO, DE, and SSA\u2014the 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.
提供机构：
Zhuo Chen
