نتایج جستجو برای: hybrid algorithm
تعداد نتایج: 917358 فیلتر نتایج به سال:
Based on introducing two optimization algorithms, group search optimization (GSO) algorithm and particle swarm optimization (PSO) algorithm, a new hybrid optimization algorithm which named particle swarm-group search optimization (PS-GSO) algorithm is presented and its application to optimal structural design is analyzed. The PS-GSO is used to investigate the spatial truss structures with discr...
In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...
By use of the properties of ant colony algorithm and genetic algorithm, a novel ant colony genetic hybrid algorithm, whose framework of hybrid algorithm is genetic algorithm, is proposed to solve the traveling salesman problems. The selection operator is an artificial version of natural selection, and chromosomes with better length of tour have higher probabilities of being selected in the next...
His research interest includes medical image registration, fusion and 3D parallel thinning algorithms. Attila Kuba is the head of the Department of Applied Informatics, JJ ozsef Attila University , Szeged. His research interests are image processing, its applications in medicine, image reconstruction and discrete tomography. Thinning is a frequently used method for extracting skeletons in discr...
Iztok Fister Jr.,∗ Dušan Fister,† and Xin-She Yang‡ Abstract Swarm intelligence is a very powerful technique to be used for optimization purposes. In this paper we present a new swarm intelligence algorithm, based on the bat algorithm. The Bat algorithm is hybridized with differential evolution strategies. Besides showing very promising results of the standard benchmark functions, this hybridiz...
Abstract Under the multi-objective framework, this paper presents a hybrid algorithm to solve robust static output feedback control problem for continuous polytopic uncertain system. To obtain static output feedback gain, a new hybrid algorithm is proposed by combination of a hybrid algorithm of the Particle Swarm Optimization (PSO) and Differential Evolution (DE), and the linear matrix inequal...
We describe an algorithm which takes as input a finitely presented group F, a finite confluent rewriting system for a quotient G and a prime p, and returns as output a finite confluent rewriting system for the largest extension of an elementary abelian group in characteristic p by G which is still an epimorphic image of F.
Data Compression is an area that needs to be given almost attention is text quality assessment. Different methodologies have been defined for this purpose. Hence choosing the best machine learning algorithm is really important. In addition to different compression technologies and methodologies, selection of a good data compression tool is most important. There is a complete range of different ...
By use of the properties of ant colony algorithm and genetic algorithm, a novel ant colony genetic hybrid algorithm, whose framework of hybrid algorithm is genetic algorithm, is proposed to solve the traveling salesman problems. The selection operator is an artificial version of natural selection, and chromosomes with better length of tour have higher probabilities of being selected in the next...
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