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Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb

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evolutionary multi-objective optimization; archiving; convergence; multi-objective optimization; genetic algorithm; simple cell mapping; rod vibration; mass–damper–spring termination; impulse response; reliability; importance sampling; scarce data; surrogate; RBDO; MOO; NSGA-II; auto-configuration and auto-design of metaheuristics; large-scale multi-objective optimization; real-world problems optimization; knowledge discovery; reconfigurable manufacturing system; simulation; multi-criteria decision making; interactive optimization; grouping genetic algorithm; grouping mutation operator; grouping problem; unrelated parallel-machine scheduling; hypervolume indicator; newton method; evolutionary algorithms; constraint handling; hypervolume scalarization; association rule mining; causality measures; multi-objective evolutionary algorithm; COVID-19 data; particle filter; transfer learning; objectives reduction; data mining; many objectives; multi-objective reliability-based design optimization; shifting vector approach; reliability analysis; chaos control theory; differential evolution; n/a

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