Searching for authors named "Jorge Tavares" – sorted by Relevance.
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Crossover and Diversity: A Study about GVR
- Genetic Vehicle Representation (GVR) is a two level representational scheme, designed to deal in an e#ective way with all the information needed by candidate solutions, for the Vehicle Routing Problem (VRP). In this paper, we present an analysis on the influence of two crossover operators in t
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On the Influence of GVR in Vehicle Routing
- A comparative study is made between a new evolutionary approach for the Vehicle Routing Problem (VRP) and a standard evolutionary model, based on Path Representation. Genetic Vehicle Representation (GVR) is the new twolevel representational scheme designed to deal in an e#ective way with all the inf
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GVR: a new genetic representation for the vehicle routing problem
- Abstract. In this paper we analyse a new evolutionary approach to the vehicle routing problem. We present Genetic Vehicle Representation (GVR), a two-level representational scheme designed to deal in an effective way with all the information that candidate solutions must encode. Experimental results
- Cited by 6 (1 self) – Add To MetaCart
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GVR Delivers It On Time
- Genetic Vehicle Representation (GVR) is a new two-level representational scheme designed to encode all the information required by potential solutions for the vehicle routing problem. In a previous paper we described a set of experiments performed with several instances from the Capacitated Vehicle
- Cited by 2 (2 self) – Add To MetaCart
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Vehicle routing problem: Doing it the evolutionary way
- In this paper we describe three evolutionary approaches to the vehicle routing problem. In our first approach we use a standard genetic algorithm whilst in the second we use a coevolutionary model. The third approach concerns the extension of the previous ones through the inclusion of heuristics. We
- Cited by 8 (4 self) – Add To MetaCart
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Evolving Creativity
- Transformational creativity requires a change of the search space. As such, Evolutionary Computation (EC) approaches are incapable of transformational creativity. In this paper, we discuss how canonical EC techniques can be extended in order to yield the potential of transformational creativity.
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