Studying of dynamic shrinking strategy for handling equality constraints

To enhance the quality of solutions for the problems with equality constraints in evolutionary optimization, a paradigm of multi-stage dynamic shrinking strategy (MS-DSS) is proposed by partitioning the evolutionary process into three stages: a) exploring, b) approaching, and c) exploiting stage, to shrink the violation values to an expected value at the end of evolution. The experiments on three benchmark functions by evolutionary algorithm with MS-DSS produce satisfaction results, by comparing to the results of ASCHEA.