Search Results - "Battiti, Roberto"
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MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony
Published in IEEE transactions on cybernetics (01-12-2013)“…Combining ant colony optimization (ACO) and the multiobjective evolutionary algorithm (EA) based on decomposition (MOEA/D), this paper proposes a…”
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Brain-Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker
Published in IEEE transactions on evolutionary computation (01-10-2010)“…The centrality of the decision maker (DM) is widely recognized in the multiple criteria decision-making community. This translates into emphasis on seamless…”
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Statistical learning theory for location fingerprinting in wireless LANs
Published in Computer networks (Amsterdam, Netherlands : 1999) (22-04-2005)“…In this paper, techniques and algorithms developed in the framework of Statistical Learning Theory are applied to the problem of determining the location of a…”
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Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study
Published in International journal of computational intelligence systems (2018)“…The explosion of the Internet has deeply affected the labour market. Identifying most rewarded and demanded items in job offers is key for recruiters and…”
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Feature Selection Based on the Neighborhood Entropy
Published in IEEE transaction on neural networks and learning systems (01-12-2018)“…In feature selection, a measure that captures nonlinear relationships between features and class is the mutual information (MI), which is based on how…”
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Supporting service differentiation with enhancements of the IEEE 802.11 MAC protocol: Models and analysis
Published in Science China. Information sciences (01-10-2007)“…As one of the fastest growing wireless access technologies, wireless LANs must evolve to support adequate degrees of service differentiation. Unfortunately,…”
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Combining intelligent heuristics with simulators in hotel revenue management
Published in Annals of mathematics and artificial intelligence (01-03-2020)“…Revenue Management uses data-driven modelling and optimization methods to decide what to sell, when to sell, to whom to sell, and for which price, in order to…”
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A Telescopic Binary Learning Machine for Training Neural Networks
Published in IEEE transaction on neural networks and learning systems (01-03-2017)“…This paper proposes a new algorithm based on multiscale stochastic local search with binary representation for training neural networks [binary learning…”
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A reactive self-tuning scheme for multilevel graph partitioning
Published in Applied mathematics and computation (01-02-2018)“…We propose a new multilevel graph bi-partitioning approach (M-RRTS) using greedy construction and reactive-randomized tabu search (RRTS). RRTS builds upon…”
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RoomTetris in room committing: why the role of minimum-length-of-stay requirements should be revisited
Published in International journal of contemporary hospitality management (17-11-2021)“…Purpose This study aims to analyze how different room-committing practices affect the occupancy and profitability of hotels and it critically reviews the role…”
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Hybridization of Decomposition and Local Search for Multiobjective Optimization
Published in IEEE transactions on cybernetics (01-10-2014)“…Combining ideas from evolutionary algorithms, decomposition approaches, and Pareto local search, this paper suggests a simple yet efficient memetic algorithm…”
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Active Learning of Pareto Fronts
Published in IEEE transaction on neural networks and learning systems (01-03-2014)“…This paper introduces the active learning of Pareto fronts (ALP) algorithm, a novel approach to recover the Pareto front of a multiobjective optimization…”
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Learning Modulo Theories for constructive preference elicitation
Published in Artificial intelligence (01-06-2021)“…This paper introduces CLEO, a novel preference elicitation algorithm capable of recommending complex configurable objects characterized by both discrete and…”
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The continuous reactive tabu search: Blending combinatorial optimization and stochastic search for global optimization
Published in Annals of operations research (01-04-1996)Get full text
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A flexible cluster-oriented alternative clustering algorithm for choosing from the Pareto front of solutions
Published in Machine learning (01-01-2015)“…Supervised alternative clustering is the problem of finding a set of clusterings which are of high quality and different from a given negative clustering. The…”
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RoomTetris: an optimal procedure for committing rooms to reservations in hotels
Published in Journal of hospitality and tourism technology (05-12-2020)“…Purpose Many hotels allocate guests to specific rooms immediately after reservation. This happens because individual rooms are sold (and there is no concept of…”
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Reactive and dynamic local search for max-clique: Engineering effective building blocks
Published in Computers & operations research (01-03-2010)“…This paper presents the results of an ongoing investigation about how different algorithmic building blocks contribute to solving the maximum clique problem…”
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Computing optical flow across multiple scales : an adaptive coarse-to-fine strategy
Published in International journal of computer vision (01-06-1991)Get full text
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