author = "M. J. D. Fernando and D. A. K. K. Pathirana and
W. J. K. T. D. Jayasooriya and S. A. H. Rathnaweera and
Lakmal Rupasinghe",
booktitle = "2019 International Conference on Advancements in
Computing (ICAC)",
title = "Intelligent Flood Management System",
year = "2019",
pages = "79--84",
month = dec,
keywords = "genetic algorithms, genetic programming, Sri Lanka,
ceylon",
DOI = "doi:10.1109/ICAC49085.2019.9103407",
abstract = "Flooding is one of the major disasters in Sri Lanka.
In Sri Lanka, there are no effective pre preparedness
procedures follow in a flooding situation. The setting
of pre and post-disaster activities like mitigation,
preparedness, response, and recovery have very
important roles in reducing future hazard risk in
disaster-prone areas. Lack of communication and
coordination during a disaster situation has led
inefficiencies in mitigating adverse, in that
situation, messages requesting for any assistance are
sent to a central cloud system where the system
generates response automatically and communicate and
coordinate with the relevant parties. The genetic
programming methods have used to plan relief supply
distribution and safety location allocation for the
flood-affected people in Sri Lanka. The research
provides a guide for the administration of flood
management for decision making on flood disaster
management, preparedness and mitigation damages and
deaths, recovery, and development in post-disaster
situations in Sri Lanka.",
notes = "Faculty of Computing, Sri Lanka Institute of
Information Technology, Malabe, Sri Lanka