Table 1 Specific parameter settings for the algorithms used in this study.
From: Efficient implicit constraint handling approaches for constrained optimization problems
Algorithm | Parameter settings |
|---|---|
Evolutionary strategy | Number of offspring = 200, rule = 1.0/7.0 |
Differential evolution | Variant = "DE/rand/1/bin", crossover constant (CR) = 0.3, Weighting factor (F) = 0.8 |
Stochastic ranking evolutionary strategy | Number of offspring = 200, rule = 1.0/7.0, gamma = 0.85, alpha = 0.2 |
Biased random key genetic algorithm | Number of elite = 200, number of offspring = 700, number of mutant = 100, bias = 0.7 |
