International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 179 - Number 22 |
Year of Publication: 2018 |
Authors: Ibrahim El-Henawy, Nagham Ahmed Abdelmegeed |
10.5120/ijca2018916427 |
Ibrahim El-Henawy, Nagham Ahmed Abdelmegeed . Meta-Heuristics Algorithms: A Survey. International Journal of Computer Applications. 179, 22 ( Feb 2018), 45-54. DOI=10.5120/ijca2018916427
This paper is meant to present a meta-heuristic algorithms and their application to combinatorial optimization problems. This report contains an assessment of the rapid development of meta-heuristic thoughts, their convergence towards a unified fabric and the richness of potential application in optimization problems. The paper presents a brief survey of different meta-heuristic algorithms aiming to solve optimization problems. The meta-heuristic is divided into four broad categories Evolutionary, Physics-based, Swarm-based and Human-based algorithms.