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This paper presents a multiobjective approach for the design of electrical distribution networks. The objectives are defined as a monetary cost index (including installation cost and energy losses cost) and a system failure index. The true Pareto-optimal solutions are found with a multiobjective genetic algorithm that employs an efficient variable encoding… (More)

- Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi
- IEEE Trans. Evolutionary Computation
- 2011

- Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto
- IEEE Trans. Evolutionary Computation
- 2010

- Flávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi, Geraldo Robson Mateus, Fabíola Guerra Nakamura
- Evolutionary Computation
- 2014

Recent works raised the hypothesis that the assignment of a geometry to the decision variable space of a combinatorial problem could be useful both for providing meaningful descriptions of the fitness landscape and for supporting the systematic construction of evolutionary operators (the geometric operators) that make a consistent usage of the space… (More)

- Robert F. Subtil, Eduardo G. Carrano, Marcone J. F. Souza, Ricardo H. C. Takahashi
- IEEE Congress on Evolutionary Computation
- 2010

- Marlon Paolo Lima, Eduardo G. Carrano, Ricardo H. C. Takahashi
- IEEE Congress on Evolutionary Computation
- 2012

- A. C. M. A. Tepedino, Ricardo H. C. Takahashi, Eduardo G. Carrano
- IEEE Congress on Evolutionary Computation
- 2013

This work investigates the conjecture that the employment of geometry-based operators can be worthy for the construction of efficient and stable evolutionary algorithms for scheduling problems in parallel machines. The effort reported here is an instance of a broader study which investigates the role of geometric concepts in combinatorial problems. This… (More)

- Flávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi, Geraldo Robson Mateus
- IEEE Congress on Evolutionary Computation
- 2009