Firefly Algorithm for optimization problems with non-continuous variables: A Review and Analysis

February 25, 2016 · The Cartographer · 🏛 arXiv.org

"No code URL or promise found in abstract"
"Title-pattern auto-detect: Firefly Algorithm for optimization problems with non-continuous variables: A Review and Analysis"

Evidence collected by the PWNC Scanner

Authors Surafel Luleseged Tilahun, Jean Medard T Ngnotchouye arXiv ID 1602.07884 Category cs.NE: Neural & Evolutionary Citations 4 Venue arXiv.org Last Checked 3 days ago

Abstract

Firefly algorithm is a swarm based metaheuristic algorithm inspired by the flashing behavior of fireflies. It is an effective and an easy to implement algorithm. It has been tested on different problems from different disciplines and found to be effective. Even though the algorithm is proposed for optimization problems with continuous variables, it has been modified and used for problems with non-continuous variables, including binary and integer valued problems. In this paper a detailed review of this modifications of firefly algorithm for problems with non-continuous variables will be discussed. The strength and weakness of the modifications along with possible future works will be presented.