Eduardo G. Carrano

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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)
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)
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)