Hybrid Evolutionary Algorithms - Integration Strategies

Abstract

Hybrid Evolutionary Algorithms (HEAs) have emerged as powerful optimization techniques that combine the strengths of different algorithms to tackle complex optimization problems. This paper presents a comprehensive review of integration strategies used in HEAs, focusing on how various algorithms are combined to improve search efficiency and solution quality. We discuss the motivations behind hybridization, categorize integration strategies based on their characteristics, and highlight key advancements in the field. Additionally, we provide insights into the design and implementation of HEAs, discussing challenges and future research directions.