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An Efficient Sieve Algorithm with Evolutionary Technique
2020 IEEE 20th International Conference on Communication Technology (ICCT), 2020Sieve algorithm plays an important role in solving the shortest vector problem, which is one of the most representative hard lattice problems. In this paper, we propose an efficient sieve algorithm with evolutionary techniques. By combining Gauss Sieve algorithm with global selection, we propose an efficient sieve algorithm.
Zedong Sun, Chunxiang Gu, Yonghui Zheng
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Comparison of metamodeling techniques in evolutionary algorithms
Soft Computing, 2016Although researchers have successfully incorporated metamodels in evolutionary algorithms to solve computational-expensive optimization problems, they have scarcely performed comparisons among different metamodeling techniques. This paper presents an in-depth comparison study over four of the most popular metamodeling techniques: polynomial response ...
Alan Díaz-Manríquez +2 more
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Uncertainties reducing Techniques in evolutionary computation
2007 IEEE Congress on Evolutionary Computation, 2007Real-world applications are bound to have certain level of uncertainty inherent in them. Among this noise is one of the most predominant factors affecting the optimization process whether it is conventional or evolutionary techniques. The evolutionary optimization techniques are found to be inherently stronger and robust to noisy environments but they ...
P. G. Balaji +2 more
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Evolutionary Techniques in Physical Robotics
2000Evolutionary and coevolutionary techniques have become a popular area of research for those interested in automated design. One of the cutting edge issues in this field is the ability to apply these techniques to real physical systems with all the complexities and affordances that such systems present.
Jordan B. Pollack +5 more
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An evolutionary technique for local microcode compaction
Microprocessors and Microsystems, 1995Abstract In this paper we present a variant of the simulated evolution technique for local microcode compaction. Simulated evolution is a general optimization method based on an analogy with the natural selection process in biological evolution. The proposed technique combines simulated evolution with list scheduling, in which simulated evolution is ...
Imtiaz Ahmad +2 more
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An Evolutionary ILS-Perturbation Technique
2008This contribution proposes a new perturbation technique for the iterated local search metaheuristic, which consists in a micro evolutionary algorithm that effectively explores the neighborhood of the solution that should undergo the perturbation operator.
Manuel Lozano 0001 +1 more
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Evolutionary Techniques for Image Segmentation
2014Evolutionary algorithms are used in many engineering applications for optimization of problems that are often difficult to solve using conventional methods. One such problem is image segmentation. This task is used for object (contour) extraction from images to create sensible representation of the image.
Karel Mozdren +3 more
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A new evolutionary gene selection technique
2015 IEEE Congress on Evolutionary Computation (CEC), 2015Microarray technology allows to investigate gene expression levels by analyzing high dimensional datasets of few samples. Selection of discriminative, differentially expressed genes from such datasets is important to differentiate, prognose and understand the underlying biological processes.
Adrian Lancucki +2 more
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Evolutionary Techniques for Deterministic Chaos Control
2009— This work deals with optimization of the control of chaos by means of evolutionary algorithms. The main aim of this paper is to show that powerful optimizing tools like evolutionary algorithms can be in reality used for the optimization of deterministic chaos control.
Roman Senkerik +2 more
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Towards protein folding with evolutionary techniques
Journal of Computational Chemistry, 2005AbstractWe present design details and first tests of a new evolutionary algorithm approach to ab initio protein folding. It does not focus on dihedral angles exclusively, but mainly operates on introduction, extension, break‐up, and destruction of secondary structure elements, given as correlated dihedral angle values.
Florian Koskowski, Bernd Hartke
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