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Economic dispatch by ant colony search algorithm

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dc.contributor.authorSum-Im T.
dc.date.accessioned2021-04-05T04:32:43Z
dc.date.available2021-04-05T04:32:43Z
dc.date.issued2004
dc.date.issuedBE2547
dc.description.abstractIn this paper, ant colony search algorithm (ACSA) is proposed to solve the economic dispatch (ED) with transmission losses problem. ACSA is a new cooperative agents approach, which is inspired by the observation of the behaviors of real ant colonies on the topic of ant trail formation and foraging methods. In the ACSA, a set of cooperating agents called "ants" cooperates to find a good solution for economic dispatch problem. The merits of ACSA are parallel search and optimization capabilities. The feasibility of the proposed method is tested on the IEEE 30 bus system and compared to Lambda iteration method and genetic algorithm.
dc.format.mimetypeapplication/pdf
dc.identifier.citation2004 IEEE Conference on Cybernetics and Intelligent Systems. (2004), p.416-421
dc.identifier.other2-s2.0-11244271933
dc.identifier.urihttps://hdl.handle.net/20.500.14740/6369
dc.rights.holderScopus
dc.subject.otherDynamic programming
dc.subject.otherHydroelectric generators
dc.subject.otherIterative methods
dc.subject.otherLinear programming
dc.subject.otherOptimization
dc.subject.otherProblem solving
dc.subject.otherQuadratic programming
dc.subject.otherAnt colony search algorithms
dc.subject.otherCooperating agents
dc.subject.otherEconomic dispatch
dc.subject.otherHomogeneous linear programming (HLP)
dc.subject.otherAlgorithms
dc.titleEconomic dispatch by ant colony search algorithm
dc.typeConference Paper
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-11244271933&partnerID=40&md5=0f8e995c916932e24e3d282c95d2cd07

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