G. D. da Costa
IEEE Transactions on Power Systems · 2013
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom G. D. da Costa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from G. D. da Costa's perspective
Ordered by how strongly the researchers G. D. da Costa trusts endorse each paper. Same corpus, a different order for every researcher.
- On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
- Optimal Power Flow by Enhanced Genetic Algorithm (IEEE Power Engineering Review)
- Sensitivity-Based Approaches for Handling Discrete Variables in Optimal Power Flow Computations (IEEE Transactions on Power Systems)
- Nonlinear Programming—Sequential Unconstrained Minimization Techniques
- Genetic Algorithms in Search Optimization and Machine Learning
- Transmission management in the deregulated environment (Proceedings of the IEEE)
- Handbook Of Genetic Algorithms
- Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence (SIAM Journal on Optimization)
- Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
- Interior Methods for Nonlinear Optimization (SIAM Review)