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Keyword: Firefly algorithm
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10 Pages, 1,035 KB Download PDF

An Efficient Combinatorial Input Output-Based Using Adaptive Firefly Algorithm with Elitism Relations Testing

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 4, Page # 223–232, 2021; DOI: 10.25046/aj060426
Abstract:

Combinatorial software testing is regarded as a crucial part when it comes to the software development life cycle. However, it would be impractical to exhaustive test highly configurable software due to limited time as well as resources. Moreover, a combinatorial testing strategy would be to employ input-output-based relations (IORs) due to its benefits versus other…

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(This article belongs to Section Software Engineering in Computer Science (CSE))
Open AccessArticle
6 Pages, 827 KB Download PDF

Fuzzy Modelling using Firefly Algorithm for Phishing Detection

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 6, Page # 291–296, 2019; DOI: 10.25046/aj040637
Abstract:

A fuzzy system is a rule-based system that uses human experts’ knowledge to make a particular decision, while fuzzy modeling refers to the identification process of the fuzzy parameters. To generate the fuzzy parameters automatically, an optimization method is needed. One of the suitable methods provides the Firefly Algorithm (FA). FA is a nature-inspired algorithm…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
9 Pages, 976 KB Download PDF

Metaheuristic Optimization Algorithm Performance Comparison for Optimal Allocation of Static Synchronous Compensator

Advances in Science, Technology and Engineering Systems Journal, Volume 8, Issue 1, Page # 116–124, 2023; DOI: 10.25046/aj080114
Abstract:

The relevance of static synchronous compensator (STATCOM) controllers in controlling power network parameters is causing them to be included in contemporary networks. But for the intended objectives to be attained, the best device positioning and parameter settings are essential. This work compares the performance of the particle swarm optimization (PSO) and firefly algorithm (FA) in…

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(This article belongs to the SP14 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2022-23) & Section Electrical Engineering (ELE))

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