Results 31 to 40 of about 1,205,745 (301)
On the Automated and Reactive Optimization of Highly-Dynamic Communication Network Infrastructures [PDF]
Journal of Universal Computer Science, 2019 In this paper, the applicability of heuristic methods for an automated and reactive optimization of network infrastructures in highly-dynamic communication networks is studied.
Robin Mueller-Bady +3 more
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Evolutionary computation in optimization and identification
Computer Assisted Methods in Engineering and Science, 2023 The aim of the paper is to present the application of the evolutionary algorithms to selected optimization and identification problems of mechanical systems. The coupling of evolutionary algorithms with the finite element method and the boundary element
Tadeusz Burczyński +5 more
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A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems
Complexity, 2021 Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark ...
Wali Khan Mashwani +4 more
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Inevitable evolutionary temporal elements in neural processing: a study based on evolutionary simulations. [PDF]
PLoS ONE, 2008 Recent studies have suggested that some neural computational mechanisms are based on the fine temporal structure of spiking activity. However, less effort has been devoted to investigating the evolutionary aspects of such mechanisms.
Uri Yerushalmi, Mina Teicher
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An overview of evolutionary computation [PDF]
, 1993 Evolutionary computation uses computational models of evolutionary processes as key elements in the design and implementation of computerbased problem solving systems. In this paper we provide an overview of evolutionary computation, and describe several evolutionary algorithms that are currently of interest.
William M. Spears +4 more
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An evolutionary algorithm for bilevel optimisation of men's team pursuit track cycling
, 2012 Evolutionary Computation is useful in a broad range of practical applications, however currently generalized algorithms tend to be focused upon solving problems in a theoretical domain. We aim to develop a range of generalised algorithms more suited than
Trent Kroeger +3 more
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A Novel Multi-Task Optimization Algorithm Based on the Brainstorming Process
IEEE Access, 2020 Evolutionary multi-task optimization (EMTO) is an emerging research topic in the field of evolutionary computation, which aims to simultaneously optimize several component tasks within a problem and output the best solution for each task.
Chao Lyu, Yuhui Shi, Lijun Sun
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An Evolutionary Computation Approach for Twitter Bot Detection
Applied Sciences, 2022 Bot accounts are automated software programs that act as legitimate human profiles on social networks. Identifying these kinds of accounts is a challenging problem due to the high variety and heterogeneity that bot accounts exhibit.
Luigi Rovito +3 more
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Theory of Evolutionary Computation [PDF]
Algorithmica, 2010 Evolutionary algorithms are general-purpose randomized search heuristics. They have been successfully applied to many different kinds of search and optimization problems. They are popular in practice since they are easy to implement and easy to apply, and yet often find good solutions in reasonable time.
Benjamin Doerr, Thomas Jansen 0001
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An adaptive data structure for evolutionary multi-objective algorithms with unbounded archives
, 2012 Archives have been widely used in evolutionary multi-objective optimization in order to store the optimal points found so far during the optimization process. Usually the size of an archive is bounded which means that the number of points it can store is
Yuen, J. +7 more
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