Geometric Optimization Design System Incorporating Hybrid GRECO-WM Scheme and Genetic Algorithm
This article seeks to outline an integrated and practical geometric optimization design system （GODS） incorporating hybrid graphical electromagnetic computing-wedge modeling （GRECO-WM） scheme and the genetic algorithm （GA） for calculating the radar cross section （RCS） and optimizing the geometric pa...
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| Veröffentlicht in: | Chinese journal of aeronautics 2009-12, Vol.22 (6), p.599-606 |
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| container_title | Chinese journal of aeronautics |
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| creator | Shaobo, Ye Junjiang, Xiong |
| description | This article seeks to outline an integrated and practical geometric optimization design system （GODS） incorporating hybrid graphical electromagnetic computing-wedge modeling （GRECO-WM） scheme and the genetic algorithm （GA） for calculating the radar cross section （RCS） and optimizing the geometric parameters of a large and complex target respectively. A new wedge modeling （WM） scheme is presented for calculating the high-frequency RCS of wedge with only one visible facet based on the method of equivalent currents （MEC）. The applications of GODS to 2D cross-section and 3D surface are respectively implemented by choosing an average of monostatic RCS values corresponding to a series of incident angles over a frequency band as the optimum objective function. And the results demonstrate that the RCS can be effectively and conveniently reduced by the GODS presented in this article. |
| doi_str_mv | 10.1016/S1000-9361(08)60147-8 |
| format | Article |
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A new wedge modeling （WM） scheme is presented for calculating the high-frequency RCS of wedge with only one visible facet based on the method of equivalent currents （MEC）. The applications of GODS to 2D cross-section and 3D surface are respectively implemented by choosing an average of monostatic RCS values corresponding to a series of incident angles over a frequency band as the optimum objective function. 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A new wedge modeling （WM） scheme is presented for calculating the high-frequency RCS of wedge with only one visible facet based on the method of equivalent currents （MEC）. The applications of GODS to 2D cross-section and 3D surface are respectively implemented by choosing an average of monostatic RCS values corresponding to a series of incident angles over a frequency band as the optimum objective function. And the results demonstrate that the RCS can be effectively and conveniently reduced by the GODS presented in this article.</description><subject>complex target</subject><subject>genetic algorithms</subject><subject>geometric parameter</subject><subject>graphical electromagnetic computing</subject><subject>optimum design</subject><subject>radar cross section</subject><subject>wedge modeling</subject><subject>优化设计系统</subject><subject>图形电磁计算</subject><subject>遗传算法</subject><subject>雷达散射截面</subject><issn>1000-9361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFkE9PwzAMxXsAiTH4CEgVF-BQcJq2aU8IjbFNAk1iII5Rk7pboE22JEMan57uj7hysmQ_v2f_guCCwC0Bkt3NCABEBc3INeQ3GZCERflR0PtrnwSnzn0C0IIR6AV8hKZFb5UMp0uvWvVTemV0-IhOzXU42ziPbTjR0tilsd1Mz8PxRlhVhaPX4WAafbyEM7nAFsNSdz3U6Duvh2ZurPKL9iw4rsvG4fmh9oP3p-HbYBw9T0eTwcNzJBOS-ggFLYAVSVwXIk_jGhETVoiY1CUgFRlKWmQEhIQ0T7FGVolMQF5XAJLROKf94Grvu7RmtUbneaucxKYpNZq14yyhMaUZo50y3SulNc5ZrPnSqra0G06AbxnyHUO-hcUh5zuGfJtwv9_D7o1vhZY7qVBLrJRF6Xll1L8Ol4fkhdHzVYeSi1J-1apB3v2QAetO_AVHK4aW</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>Shaobo, Ye</creator><creator>Junjiang, Xiong</creator><general>Elsevier Ltd</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20091201</creationdate><title>Geometric Optimization Design System Incorporating Hybrid GRECO-WM Scheme and Genetic Algorithm</title><author>Shaobo, Ye ; Junjiang, Xiong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-eb3907942f9b852feee479b21fa0e3b6ec39610bc0585efe7db6b08fd00c73283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>complex target</topic><topic>genetic algorithms</topic><topic>geometric parameter</topic><topic>graphical electromagnetic computing</topic><topic>optimum design</topic><topic>radar cross section</topic><topic>wedge modeling</topic><topic>优化设计系统</topic><topic>图形电磁计算</topic><topic>遗传算法</topic><topic>雷达散射截面</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shaobo, Ye</creatorcontrib><creatorcontrib>Junjiang, Xiong</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Chinese journal of aeronautics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shaobo, Ye</au><au>Junjiang, Xiong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geometric Optimization Design System Incorporating Hybrid GRECO-WM Scheme and Genetic Algorithm</atitle><jtitle>Chinese journal of aeronautics</jtitle><addtitle>Chinese Journal of Aeronautics</addtitle><date>2009-12-01</date><risdate>2009</risdate><volume>22</volume><issue>6</issue><spage>599</spage><epage>606</epage><pages>599-606</pages><issn>1000-9361</issn><abstract>This article seeks to outline an integrated and practical geometric optimization design system （GODS） incorporating hybrid graphical electromagnetic computing-wedge modeling （GRECO-WM） scheme and the genetic algorithm （GA） for calculating the radar cross section （RCS） and optimizing the geometric parameters of a large and complex target respectively. A new wedge modeling （WM） scheme is presented for calculating the high-frequency RCS of wedge with only one visible facet based on the method of equivalent currents （MEC）. The applications of GODS to 2D cross-section and 3D surface are respectively implemented by choosing an average of monostatic RCS values corresponding to a series of incident angles over a frequency band as the optimum objective function. And the results demonstrate that the RCS can be effectively and conveniently reduced by the GODS presented in this article.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/S1000-9361(08)60147-8</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1000-9361 |
| ispartof | Chinese journal of aeronautics, 2009-12, Vol.22 (6), p.599-606 |
| issn | 1000-9361 |
| language | eng |
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| source | Elsevier ScienceDirect Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | complex target genetic algorithms geometric parameter graphical electromagnetic computing optimum design radar cross section wedge modeling 优化设计系统 图形电磁计算 遗传算法 雷达散射截面 |
| title | Geometric Optimization Design System Incorporating Hybrid GRECO-WM Scheme and Genetic Algorithm |
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