Applying micro GA concept for problems with large and rugged solution space

Jain, Rajashree; Mani, Ganapathy

doi:10.1109/tencon.2009.5395818

Cited by 5 publications

(2 citation statements)

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“…Such a prior knowledge can help in partitioning of the array into zones and better exploitation of the solution space. In general, zoning is based on dividend or return likely to yield while exploiting the zone [18,19]. Though it is possible to partition into any number of zones, it may not be advisable to consider more than 2 or 3 zones, as shown later.…”

Section: Zoning Techniquementioning

confidence: 99%

Solving “Antenna Array Thinning Problem” Using Genetic Algorithm

Jain

Mani²

2012

Applied Computational Intelligence and Soft Computing

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Thinning involves reducing total number of active elements in an antenna array without causing major degradation in system performance. Dynamic thinning is the process of achieving this under real-time conditions. It is required to find a strategic subset of antenna elements for thinning so as to have its optimum performance. From a mathematical perspective this is a nonlinear, multidimensional problem with multiple objectives and many constraints. Solution for such problem cannot be obtained by classical analytical techniques. It will be required to employ some type of search algorithm which can lead to a practical solution in an optimal. The present paper discusses an approach of using genetic algorithm for array thinning. After discussing the basic concept involving antenna array, array thinning, dynamic thinning, and application methodology, simulation results of applying the technique to linear and planar arrays are presented.

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Section: Zoning Techniquementioning

confidence: 99%

Solving “Antenna Array Thinning Problem” Using Genetic Algorithm

Jain

Mani²

2012

Applied Computational Intelligence and Soft Computing

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“…Such a-prior knowledge can help in partitioning of the array into zones and better exploitation of the solution space. In general, zoning is based on dividend or return likely to yield while exploiting the zone [26]. Though it is possible to partition into any number of zones, it may not be advisable to consider more than 2 or 3 zones, as shown later.…”

Section: Zoning Techniquementioning

confidence: 99%

Dynamic Thinning of Antenna Array Using Genetic Algorithm

Jain¹,

Mani²

2011

PIER B

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Abstract-Thinning is a technique by which the total number of active elements in an antenna array is reduced without causing major degradation in system performance. Dynamic thinning is the process of achieving this under real time conditions. Stochastic techniques have been useful in the design of thinned arrays. However while applying the technique to large 2-D arrays, under changing conditions problems arise due to the very large and rugged solution space. Also, evaluation of the objective function in such cases requires large computational resources, thus reducing the rate of convergence. This paper suggests a technique using Genetic Algorithm which is useful for overcoming these problems. After discussing the basic concept involving dynamic thinning and application methodology, simulation results of applying the technique to linear and planar arrays are presented.

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