Signal Processing and Information Technology. Second International Joint Conference, SPIT 2012, Dubai, UAE, September 20-21, 2012, Revised Selected Papers

Research Article

Multi Objective Linear Array Synthesis Using Differential Evolution and Modified Invasive Weed Optimization Techniques

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  • @INPROCEEDINGS{10.1007/978-3-319-11629-7_19,
        author={G. LalithaManohar and A. Kumar and K. Subhashini},
        title={Multi Objective Linear Array Synthesis Using Differential Evolution and Modified Invasive Weed Optimization Techniques},
        proceedings={Signal Processing and Information Technology. Second International Joint Conference, SPIT 2012, Dubai, UAE, September 20-21, 2012, Revised Selected Papers},
        proceedings_a={SPIT},
        year={2014},
        month={11},
        keywords={Pattern synthesis Antenna arrays Differential Evolution Multi- Objective fitness function Invasive weed optimization},
        doi={10.1007/978-3-319-11629-7_19}
    }
    
  • G. LalithaManohar
    A. Kumar
    K. Subhashini
    Year: 2014
    Multi Objective Linear Array Synthesis Using Differential Evolution and Modified Invasive Weed Optimization Techniques
    SPIT
    Springer
    DOI: 10.1007/978-3-319-11629-7_19
G. LalithaManohar1,*, A. Kumar2,*, K. Subhashini2,*
  • 1: AMA University
  • 2: NIT
*Contact email: lalitha.amaiu@gmail.com, pk.vizag@gmail.com, subppy@gmail.com

Abstract

A radiation pattern synthesis methods based on the ecological inspired equations is proposed for linear antenna arrays. The amplitude weights of the elements are optimized by heuristic evolutionary tools like Differential Evolution (DE) and Invasive weed optimization to maintain a multi objective specified pattern. The characteristics of the two algorithms are explored by experimenting on a multi task fitness function .The simulation study claims that the DE is arguably a powerful tool in terms of computational time. This paper provides a comprehensive coverage and comparative study of the two above said algorithms, focusing on the pattern synthesis.