Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
392180 | Information Sciences | 2015 | 22 Pages |
Abstract
Metaheuristic algorithms are extensively recognized as effective approaches for solving high-dimensional optimization problems. These algorithms provide effective tools with important applications in business, engineering, economics, and science. This paper surveys state-of-the-art metaheuristic algorithms and their current applications in the field of large-scale global optimization. The paper mainly covers the fundamental algorithmic frameworks such as decomposition and non-decomposition methods. More than 200 papers are carefully reviewed to prepare the current comprehensive survey.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Sedigheh Mahdavi, Mohammad Ebrahim Shiri, Shahryar Rahnamayan,