Results 221 to 230 of about 167,924 (265)

An evolutionary technique for local microcode compaction

Microprocessors and Microsystems, 1995
Abstract 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, Muhammad K. Dhodhi, Kassem Saleh   +2 more
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Towards protein folding with evolutionary techniques

Journal of Computational Chemistry, 2005
AbstractWe 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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A generic applied evolutionary hybrid technique

IEEE Signal Processing Magazine, 2004
In this contribution, a generic applied evolutionary hybrid technique that combines the effectiveness of adaptive multimodel partitioning filters and genetic algorithm (GAs) robustness has been designed, developed, and applied in real-world adaptive system modeling and information mining problems.
Grigorios N. Beligiannis, Lambros V. Skarlas, Spiridon Likothanasis   +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, Ivan Zelinka, Zuzana Oplatková   +2 more
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Evolutionary Testing Techniques

2005
The development and testing of software-based systems is an essential activity for the automotive industry. 50-70 software-based systems with different complexities and developed by various suppliers are installed in today's premium vehicles, communicating with each other via different bus systems.
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A new evolutionary gene selection technique

2015 IEEE Congress on Evolutionary Computation (CEC), 2015
Microarray 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, Indrajit Saha, Piotr Lipinski   +2 more
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ISSR Techniques for Evolutionary Biology

2005
Inter-simple sequence repeat (ISSR) markers were originally devised for differentiating among closely related plant cultivars but have become extremely useful for studies of natural populations of plants, fungi, insects, and vertebrates. The markers are easily generated using minimal equipment and are hypervariable, yielding a large amount of data for ...
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Evolutionary Techniques in MEMS Synthesis

Volume 1A: 25th Biennial Mechanisms Conference, 1998
Abstract Initial results have been obtained for automatic synthesis of MEMS mask-layouts using a genetic algorithm. An initial random population of geometrically valid mask-layouts (non-self intersecting 2D polygons) is produced. The fabrication of each layout is simulated using a 3-D simulation of etching.
Hui Li, Erik K. Antonsson
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Evolutionary Techniques for Procedural Texture Automation

2013
We have developed a genetic algorithm approach for automatically generating procedural textures. Our system, known as GenShade, evaluates evolutionarily generated procedural textures by comparing their rendered images with single or multiple target images of real textures.
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Evolutionary computation techniques and their applications

1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335), 2002
Evolutionary computation techniques, which are based on a powerful principle of evolution: survival of the fittest, constitute an interesting category of heuristic search. Evolutionary computation techniques are stochastic algorithms whose search methods model some natural phenomena: genetic inheritance and Darwinian strive for survival.
Z. Michalewicz, M. Michalewicz
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