Cell-based genetic algorithm and simulated annealing for spatial groundwater allocation

SIDIROPOULOS, E; FOTAKIS, D

dc.contributor.author	SIDIROPOULOS, E	en
dc.contributor.author	FOTAKIS, D	en
dc.date.accessioned	2014-03-01T01:57:44Z
dc.date.available	2014-03-01T01:57:44Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28500
dc.relation.uri	http://www.wseas.us/e-library/transactions/environment/2009/29-148.pdf	en
dc.subject	Genetic Algorithm	en
dc.subject	Land Use	en
dc.subject	Local Interaction	en
dc.subject	Optimal Resource Allocation	en
dc.subject	Simulated Annealing	en
dc.subject	Cellular Automaton	en
dc.subject	Cellular Automata	en
dc.title	Cell-based genetic algorithm and simulated annealing for spatial groundwater allocation	en
heal.type	journalArticle	en
heal.publicationDate	2009	en
heal.abstract	A genetic algorithm and a simulated annealing approach is presented for the guidance of a cellular automaton toward optimal configurations. The algorithm is applied to a problem of groundwater allocation in a rectangular area consisting of adjacent land blocks and modeled as a cellular automaton. The new algorithm is compared to a more conventional genetic algorithm and its efficiency is	en