20 years of Greedy Randomized Adaptive Search Procedures with Path Relinking
arxiv(2023)
摘要
This is a comprehensive review of the Greedy Randomized Adaptive Search
Procedure (GRASP) metaheuristic and its hybridization with Path Relinking (PR)
over the past two decades. GRASP with PR has become a widely adopted approach
for solving hard optimization problems since its proposal in 1999. The paper
covers the historical development of GRASP with PR and its theoretical
foundations, as well as recent advances in its implementation and application.
The review includes a critical analysis of variants of PR, including
memory-based and randomized designs, with a total of ten different
implementations. It describes these advanced designs both theoretically and
practically on two well-known optimization problems, linear ordering and
max-cut. The paper also explores the hybridization of GRASP with PR and other
metaheuristics, such as Tabu Search and Scatter Search. Overall, this review
provides valuable insights for researchers and practitioners seeking to utilize
GRASP with PR for solving optimization problems.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要