A fuzzy adaptive chaotic ant swarm optimization for economic dispatch

Volume: 34, Issue: 1, Pages: 154 - 160
Published: Jan 1, 2012
Abstract
This paper developed a fuzzy adaptive chaotic ant swarm optimization (FCASO) algorithm for solving the economic dispatch (ED) problems of thermal generators in power systems. The FCASO algorithm introduces a fuzzy system to dynamically tune the characteristic parameters ψd and ri of chaotic swarm optimization (CASO). The proposed method was applied to two cases of power systems. The simulation results demonstrate the applicability and...
Paper Details
Title
A fuzzy adaptive chaotic ant swarm optimization for economic dispatch
Published Date
Jan 1, 2012
Volume
34
Issue
1
Pages
154 - 160
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