BOSCH PÉREZ, PAUL JESÚS
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BOSCH PÉREZ, PAUL JESÚS
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pbosch@udd.cl
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Scopus Author ID
8630247500

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Publication

Comment on “An algorithm for moment-matching scenario generation with application to financial portfolio optimization”

2018 , Juan Pablo Contreras , BOSCH PÉREZ, PAUL JESÚS , HERRERA MARÍN, MAURICIO RENÉ

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A New Genetic Algorithm Encoding for Coalition Structure Generation Problems

2020 , Juan Pablo Contreras , BOSCH PÉREZ, PAUL JESÚS , VARAS VALDÉS, MAURICIO ANDRÉS , Franco Basso

Genetic algorithms have proved to be a useful improvement heuristic for tackling several combinatorial problems, including the coalition structure generation problem. In this case, the focus lies on selecting the best partition from a discrete set. A relevant issue when designing a Genetic algorithm for coalition structure generation problems is to choose a proper genetic encoding that enables an efficient computational implementation. In this paper, we present a novel hybrid encoding, and we compare its performance against several genetic encoding proposed in the literature. We show that even in difficult instances of the coalition structure generation problem, the proposed approach is a competitive alternative to obtaining good quality solutions in reasonable computing times. Furthermore, we also show that the encoding relevance increases as the number of players increases.

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A horizontal collaborative approach for planning the wine grape harvesting

2022 , VARAS VALDÉS, MAURICIO ANDRÉS , Franco Basso , BOSCH PÉREZ, PAUL JESÚS , Juan Pablo Contreras , Raúl Pezoa

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