Optimizing the architecture of variational quantum circuits (VQCs) is crucial for advancing quantum computing (QC) towards practical applications. Current methods range from static ansatz design and evolutionary metho...
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The hardware complexity related to the number of transistors in electronic devices used by today's society has grown considerably in the last decades because of technological progress. In order to guarantee the co...
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High-dimensional data often threatens the performance of classification algorithms. We propose a two-step approach for dealing with high-dimensional data. In the first step, features are arranged into bins, where each...
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ISBN:
(纸本)9781450311786
High-dimensional data often threatens the performance of classification algorithms. We propose a two-step approach for dealing with high-dimensional data. In the first step, features are arranged into bins, where each bin corresponds to a much smaller sub-space of features. In the second step, classifiers are independently applied to the set of features within each sub-space, and their results are then aggregated. We consider slicing a space Rd into smaller sub-spaces as a multi-objective search problem, which can be solved by evolutionary algorithms. We performed a systematic evaluation using three classification algorithms on high-dimensional data. Copyright is held by the author/owner(s).
In the present paper, the performances of surrogate-assisted evolutionary algorithms for dynamic identification problems and damage detection are investigated. An improved algorithm is designed to limit the computatio...
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In quantum information theory, entanglement distillation is a key component for designing quantum computer networks and quantum repeaters. In this work, the practical entanglement distillation problem is re-designed i...
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In case of restricting the relation between the parents and the offspring as each one in order to learn in real time, a new numerical formula is proposed to solve the difficulty of adjusting the search region as reduc...
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Imagine autonomous, self-sufficient robot collectives that can adapt their controllers autonomously and self-sufficiently to learn to cope with situations unforeseen by their designers. As one step towards the realisa...
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Kotler and Trias De Bes (2003) at Lateral Marketing defined the creativity: each cluster had its own concepts, when a new need was generated and the designer could not find a solution from his own clusters, therefore ...
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In the context of evolutionary Game Theory, we have developed an evolutionary algorithm without an explicit fitness function or selection function. Instead players obtain energy by playing games. Clonal reproduction s...
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Time varying nature of the constraints, objectives and parameters that characterize several practical optimization problems have led to the field of dynamic optimization with evolutionary algorithms. In recent past, v...
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