Hybrid evolutionary programming problems for heavily constrained
نویسندگان
چکیده
A hybrid of evolutionary programming (EP) and a deterministic optimization procedure is applied to a series of nonlinear and quadratic optimization problems. The hybrid scheme is compared with other existing schemes such as EP alone, two-phase (TP) optimization, and EP with a non-stationary Penalty function (NS-EP). The results indicate that the hybrid method can outperform the other methods when addressing heavily constrained optimization problems in terms of computational efficiency and solution accuracy. Keywordr: Hybrid evolutionary programming; Deterministic optimization; Computational efficiency; Solution accuracy
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