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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An experimental comparative study for interactive evolutionary computation problems [PDF]
, 2006 Proceeding of: EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, Hungary, April 10-12, 2006This paper presents an objective experimental comparative study between four algorithms: the Genetic ...
Sáez, Yago +9 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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A study of the effects of clustering and local search on radio network design: evolutionary computation approaches [PDF]
, 2008 Eighth International Conference on Hybrid Intelligent Systems. Barcelona, 10-12 September 2008The goal of this paper is twofold. First, we want to make a study about how evolutionary computation techniques can efficiently solve the radio network design ...
Sáez, Yago +7 more
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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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Anytime behavior of inexact TSP solvers and perspectives for automated algorithm selection
, 2020 Part of: IEEE WCCI 2020 is the world’s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The 2020 International Joint Conference on Neural ...
Kerschke, P., Trautmann, H., Bossek, J.
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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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A general learning co-evolution method to generalize autonomous robot navigation behavior [PDF]
, 2000 Congress on Evolutionary Computation. La Jolla, CA, 16-19 July 2000.A new coevolutive method, called Uniform Coevolution, is introduced, to learn weights for a neural network controller in autonomous robots. An evolutionary strategy is used to learn high-
Molina López, José Manuel +4 more
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Computational Evolutionary Embryogeny [PDF]
IEEE Transactions on Evolutionary Computation, 2010 Evolutionary and developmental processes are used to evolve the configurations of 3-D structures in silico to achieve desired performances. Natural systems utilize the combination of both evolution and development processes to produce remarkable performance and diversity.
Or Yogev +2 more
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