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X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20240621T140000
DTEND;TZID=Asia/Seoul:20240621T160000
DTSTAMP:20260424T123137
CREATED:20240531T045615Z
LAST-MODIFIED:20240620T065839Z
UID:9654-1718978400-1718985600@www.ibs.re.kr
SUMMARY:Brenda Gavina\, A modified shuffled frog leaping algorithm with inertia weight
DESCRIPTION:In this talk\, we will discuss the paper\, “A modified shuffled frog leaping algorithm with inertia weight”\, by Zhuanzhe Zhao et.al. \, Scientific Reports\, 2024. \nAbstract  \nThe shuffled frog leaping algorithm (SFLA) is a promising metaheuristic bionics algorithm\, which has been designed by the shuffled complex evolution and the particle swarm optimization (PSO) framework. However\, it is easily trapped into local optimum and has the low optimization accuracy when it is used to optimize complex engineering problems. To overcome the shortcomings\, a novel modified shuffled frog leaping algorithm (MSFLA) with inertia weight is proposed in this paper. To extend the scope of the direction and length of the updated worst frog (vector) of the original SFLA\, the inertia weight α was introduced and its meaning and range of the new parameters are fully explained. Then the convergence of the MSFLA is deeply analyzed and proved theoretically by a new dynamic equation formed by Z-transform. Finally\, we have compared the solution of the 7 benchmark functions with the original SFLA\, other improved SFLAs\, genetic algorithm\, PSO\, artificial bee colony algorithm\, and the grasshopper optimization algorithm with invasive weed optimization. The testing results showed that the modified algorithms can effectively improve the solution accuracy and convergence property\, and exhibited an excellent ability of global optimization in high-dimensional space and complex function problems.
URL:https://www.ibs.re.kr/bimag/event/brenda-gavina-computational-screen-for-sex-specific-drug-effects-in-a-cardiac-fibroblast-signaling-network-model/
LOCATION:Daejeon
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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