Chaotic ant swarm optimization to economic dispatch

By Jiejin Cai, Xiaoqian Ma, Lixiang Li, Yixian Yang, Haipeng Peng, Xiangdong Wang. 2007

119 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Energy Engineering and Power Technology

View Paper: https://www.semanticscholar.org/paper/da59dbce40834e325872bb0bc52071747c165bf8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Qiong Li
2. Jiejin Cai
3. Lixiang Li
4. Haipeng Peng
5. T. Raghunathan
6. Aboul Ella Otifey Hassanien
7. T. Jayabarathi
8. Xiaoqian Ma

In Energy Engineering and Power Technology

1. T. Raghunathan
2. Jiejin Cai
3. T. Jayabarathi
4. Lixiang Li
5. Xiaoqian Ma
6. Xin-She Yang
7. Haipeng Peng
8. B. Adarsh

Citations in the corpus

• A multi-objective chaotic ant swarm optimization for environmental/economic dispatch (2010, methodology): “We also have successfully employed CASO to solve ED problems of thermal generators [25,26].”
• Feature selection via a novel chaotic crow search algorithm (2017, background): “Some of them are chaotic ant swarm optimization (CASO) [5], chaotic genetic algorithm (CGA) [1, 49], chaotic particle swarm (CPSO) [20, 21, 50], chaotic pattern search (CPS) [54], chaotic simulated annealing algorithm (CSA) [33], chaotic differential evolution algorithm (CDEA) [22], chaotic biogeogr”
• Economic dispatch using chaotic bat algorithm (2016, methodology): “Several chaos based algorithms have been presented to solve various engineering optimization problems including the ED problem [27,28].”