Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization

摘要: The holy grail of constrained optimization is the development an efficient, scale invariant and generic constraint handling procedure. To address these, present paper proposes a unified approach handling, which capable all inequality, equality hybrid constraints in coherent manner. proposed method also automatically resolves issue scaling critical real world engineering problems. converts single-objective problem into multi-objective problem. Evolutionary used to solve modified bi-objective estimate penalty parameter automatically. optimum further improved using classical optimization. efficiency validated on set well-studied test problems compared against without normalization technique show necessity normalization. results establish importance , especially call for investigation its use research.