Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/15137
Title: Economic dispatch by ant colony search algorithm
Authors: Sum-Im T.
Keywords: Dynamic programming
Hydroelectric generators
Iterative methods
Linear programming
Optimization
Problem solving
Quadratic programming
Ant colony search algorithms
Cooperating agents
Economic dispatch
Homogeneous linear programming (HLP)
Algorithms
Issue Date: 2004
Abstract: In 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.
URI: https://ir.swu.ac.th/jspui/handle/123456789/15137
https://www.scopus.com/inward/record.uri?eid=2-s2.0-11244271933&partnerID=40&md5=0f8e995c916932e24e3d282c95d2cd07
Appears in Collections:Scopus 1983-2021

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