合肥工业大学学报(自然科学版)
閤肥工業大學學報(自然科學版)
합비공업대학학보(자연과학판)
JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE)
2015年
4期
458-462
,共5页
非线性系统%人工鱼群算法%群体智能%最优系统%智能算法
非線性繫統%人工魚群算法%群體智能%最優繫統%智能算法
비선성계통%인공어군산법%군체지능%최우계통%지능산법
non-linear system%artificial fish school algorithm (AFSA )%swarm intelligence%optimal system%intelligent algorithm
由于工程中的复杂系统常常具有非线性的特点,因此寻找满足系统要求的最低成本成了复杂系统设计的难点。针对这一问题,文章对常规的人工鱼群算法(artificial fish school algorithm ,AFSA )进行了双空间自适应嵌套式的改进,探讨了改进后的AFSA算法在复杂系统寻优中的可行性,并对3个测试的复杂系统进行了分析计算;结果表明,与原算法相比,改进后的算法在提升寻优精确度与收敛速度方面有很好的效果。
由于工程中的複雜繫統常常具有非線性的特點,因此尋找滿足繫統要求的最低成本成瞭複雜繫統設計的難點。針對這一問題,文章對常規的人工魚群算法(artificial fish school algorithm ,AFSA )進行瞭雙空間自適應嵌套式的改進,探討瞭改進後的AFSA算法在複雜繫統尋優中的可行性,併對3箇測試的複雜繫統進行瞭分析計算;結果錶明,與原算法相比,改進後的算法在提升尋優精確度與收斂速度方麵有很好的效果。
유우공정중적복잡계통상상구유비선성적특점,인차심조만족계통요구적최저성본성료복잡계통설계적난점。침대저일문제,문장대상규적인공어군산법(artificial fish school algorithm ,AFSA )진행료쌍공간자괄응감투식적개진,탐토료개진후적AFSA산법재복잡계통심우중적가행성,병대3개측시적복잡계통진행료분석계산;결과표명,여원산법상비,개진후적산법재제승심우정학도여수렴속도방면유흔호적효과。
As the complex systems of the engineering often have non‐linear characteristics ,finding the lowest cost to meet the system requirements for the design of complex systems has become difficult . In this paper ,the conventional artificial fish school algorithm (AFSA ) is improved by the change of double space .The feasibility of the improved AFSA algorithm in the optimization of complex systems is discussed ,and three complex systems for tests are analyzed .The results show that compared with the original algorithm ,the improved algorithm is effective in increasing the optimization accuracy and convergence speed .