Learning to Converge Better: IP2 Operator
摘要
InConvergence enhancementConvergence issues the context of online innovization (Section 3.1.2, Chapter 3), it has been discussed that inter-variable relationships with pre-specified structures can be extracted in any intermediate generation of an evolutionary multi- and many-objective optimization algorithm (EMâOA) run. Subsequently, these relationships can be used for offspring repair, within the same EMâOA run, to help induce better convergence [7,8]. Any attempt to eliminate the a priori specification of the relationship structure would require alternative criteria that could guide the improvement in convergence.