Memetic Evolutionary Algorithms

摘要: Memetic Evolutionary Algorithms (MAs) are a class of stochastic heuristics for global optimization which combine the parallel search nature with Local Search to improve individual solutions. These techniques being applied an increasing range application domains successful results, and aim this book is both highlight some these applications, shed light on design issues considerations necessary implementation. In chapter we provide background rest volume by introducing (EAs) Search. We then move describe synergy that arises when two combined in Algorithms, discuss most salient conclude describing various other ways EAs MAs can be hybridized domain-specific knowledge techniques.