This paper examines three generic strategies for improving the performance of neuro-evolving convolutional neural networks (CNNs): node-level mutation operations, epigenetic weight initialization and pooling connectio...
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Effectiveness evaluation of information retrieval systems by means of a test collection is a widely used methodology. However, it is rather expensive in terms of resources, time, and money;therefore, many researchers ...
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Effectiveness evaluation of information retrieval systems by means of a test collection is a widely used methodology. However, it is rather expensive in terms of resources, time, and money;therefore, many researchers have proposed methods for a cheaper evaluation. One particular approach, on which we focus in this article, is to use fewer topics: in TREC-like initiatives, usually system effectiveness is evaluated as the average effectiveness on a set of n topics (usually, n = 50, but more than 1,000 have been also adopted);instead of using the full set, it has been proposed to find the best subsets of a few good topics that evaluate the systems in the most similar way to the full set. The computational complexity of the task has so far limited the analysis that has been performed. We develop a novel and efficient approach based on a multi-objective evolutionary algorithm. The higher efficiency of our new implementation allows us to reproduce some notable results on topic set reduction, as well as perform new experiments to generalize and improve such results. We show that our approach is able to both reproduce the main state-of-the-art results and to allow us to analyze the effect of the collection, metric, and pool depth used for the evaluation. Finally, differently from previous studies, which have been mainly theoretical, we are also able to discuss some practical topic selection strategies, integrating results of automatic evaluation approaches.
This paper proposes a three-dimensional (3D) entire shape reconstruction method that performs simultaneous 3D registration of multiple depth images obtained from multiple viewpoints. With the combination of a silhouet...
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This paper introduces the basic concepts of the improved differential evolution algorithm, the industrial control protocol and the Fuzzing test technology, as well as the status quo of related research. This paper ana...
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Designing robust circuits that withstand environmental perturbation and device degradation is critical for many applications. Traditional robust circuit design is mainly done by tuning parameters to improve system rob...
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Designing robust circuits that withstand environmental perturbation and device degradation is critical for many applications. Traditional robust circuit design is mainly done by tuning parameters to improve system robustness. However, the topological structure of a system may set a limit on the robustness achievable through parameter tuning. This paper proposes a new evolutionary algorithm for robust design that exploits the open-ended topological search capability of genetic programming (GP) coupled with bond graph modeling. We applied our GP-based robust design (GPRD) algorithm to evolve robust lowpass and highpass analog filters. Compared with a traditional robust design approach based on a state-of-the-art real-parameter genetic algorithm (GA), our GPRD algorithm with a fitness criterion rewarding robustness, with respect to parameter perturbations, can evolve more robust filters than what was achieved through parameter tuning alone. We also find that inappropriate GA tuning may mislead the search process and that multiple-simulation and perturbed fitness evaluation methods for evolving robustness have complementary behaviors with no absolute advantage of one over the other.
Apart from few exceptions, the mathematical runtime analysis of evolutionary algorithms is mostly concerned with expected runtimes. In this work, we argue that stochastic domination is a notion that should be used mor...
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Elitism has previously been introduced to the CMA-ES family of algorithms, where the "’,’ selection operator is replaced by the "+" selection operator. Here we investigate in detailed the addition of ...
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Determining the appropriate binary correlation indexes is a central issue for neighbourhood-based Link Prediction techniques. In those approaches correlation-based similarity measures, evaluated on the neighbourhood o...
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In this paper, we present a method to generate map sketches for strategy games using a state of the art many-objective evolutionary algorithm, namely NSGAIII. The map sketch generator proposed in this study outputs a ...
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Distribution system is one of the important parts of power transfer systems. Large amount of power losses take place in the distribution system. Many modern heuristic techniques have been successfully applied over the...
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