Performance assessment of evolutionary algorithms in power system optimization problems
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Summary
This paper provides a comparative analysis of several evolutionary algorithms based on parametric and non-parametric statistical tests based on hydrothermal system operation and transmission pricing optimization problems.
- Type
- article
- Published
- 2015-09-03
- Cited by
- 3
- References
- 17
- Access
- Open access
- OpenAlex
- https://openalex.org/W1491721797
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:19637637
Keywords
Robustness (evolution), Evolutionary algorithm, Computer science, Parametric statistics, Mathematical optimization
References
- Application of PSO for Optimization of Power Systems under Uncertainty
- Linearized biogeography-based optimization with re-initialization and local search
- A new genetic algorithm for solving optimization problems
- Evaluating the Mean-Variance Mapping Optimization on the IEEE-CEC 2014 test suite
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- Transmission management in the deregulated environment
- Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
- Optimal Operation of Multireservoir Systems: State-of-the-Art Review
- Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
- Differential Evolution: A Survey of the State-of-the-Art
- Contribuição ao planejamento da operação energetica de sistemas hidrotermicos de potencia
- The CMA Evolution Strategy: A Tutorial
- Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence
- A NEW ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHM FOR VOLTAGE STABILITY CONSTRAINED OPTIMAL POWER FLOW
- Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence
- Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems
Cited by
- A global-best guided phase based optimization algorithm for scalable optimization problems and its application
- A comprehensive study of phase based optimization algorithm on global optimization problems and its applications
- Peer-to-Peer (P2P) MATLAB–PowerFactory Communication: Optimal Placement and Setting of Power System Stabilizer
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