- author = "Ibrahim El-Henawy and Nagham Ahmed Abdelmegeed",
- title = "Meta-Heuristics Algorithms: A Survey",
- journal = "International Journal of Computer Applications",
- year = "2018",
- volume = "179",
- number = "22",
- pages = "45--54",
- month = feb,
- keywords = "genetic algorithms, genetic programming",
- publisher = "Foundation of Computer Science (FCS), NY, USA",
- address = "New York, USA",
- ISSN = "0975-8887",
-
URL = "
https://www.ijcaonline.org/archives/volume179/number22/29004-29004-2018916427",
-
URL = "
https://www.ijcaonline.org/archives/volume179/number22/elhenawy-2018-ijca-916427.pdf",
-
URL = "http://www.ijcaonline.org/archives/volume179/number22/29004-2018916427",
-
DOI = "
doi:10.5120/ijca2018916427",
- size = "10 pages",
- abstract = "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.",
-
notes = "Brief mention of GP amongst many techniques Also known
as \cite{10.5120/ijca2018916427}
www.ijcaonline.org
",
