Differential evolution based on ε-domination and orthogonal design method for power environmentally-friendly dispatch

Author:

Xu Ke,Zhou Jianzhong,Zhang Yongchuan,Gu Ran

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference21 articles.

1. Abbass, H. A. (2002). The self-adaptive pareto differential evolution algorithm. In Congress on Evolutionary Computation (CEC2002) Vol. 1. IEEE Service Center 831–836. Piscataway, New Jersey.

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3. Two-phase neural network based solution technique for short term hydrothermal scheduling;Aresh;IEE Proc Gener Transm Distrib,1999

4. Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints;Coelho;Energy Conversion and Management,2007

5. Daniela,Z. (2007). A comparative analysis of crossover variants in differential evolution, In Proceedings of the International Multi-conference on Computer Science and Information Technology 171–181.

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