June 30, 2020 Journal article Open Access

S. Aicevarya Devi; C. Vijayalakshmi

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    "description": "<p>Unmanned Aerial Vehicles (UAV) was introduced after World War II. In 1980&rsquo;s UAV consider as important weapon system. Initially UAV needs initial position and target position. In this paper bat algorithm is proposed with mixed objective constraints which helps in directing the UAV. The process is initialized by generating the initial population of bat. Then by updating the population size and generation of bat the fitness value with minimum frequency is found that helps to avoid convergence among UAV. Finally the evaluation which gives minimum frequency is considered as optimal solution.</p>", 
    "contributors": [
      {
        "affiliation": "Publisher", 
        "type": "Sponsor", 
        "name": "Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)"
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    "title": "Unmanned Aerial Vehicle Path Planning using  Bat Algorithm", 
    "license": {
      "id": "CC-BY-4.0"
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    "journal": {
      "volume": "9", 
      "issue": "5", 
      "pages": "196-199", 
      "title": "International Journal of Engineering and Advanced Technology (IJEAT)"
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    "language": "eng", 
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        "scheme": "issn", 
        "identifier": "2249-8958"
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        "identifier": "E9285069520/2020\u00a9BEIESP"
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    "keywords": [
      "Bat algorithm, Unmanned Aerial Vehicle, Population, Path planning, Frequency, Position."
    ], 
    "publication_date": "2020-06-30", 
    "creators": [
      {
        "affiliation": "Mathematics division, School of Advanced Science,  Vellore Institute of Technology, Chennai, Tamil Nadu.", 
        "name": "S. Aicevarya Devi"
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      {
        "affiliation": "Mathematics division, School of Advanced Science,  Vellore Institute of Technology, Chennai, Tamil Nadu.", 
        "name": "C. Vijayalakshmi"
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