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- W3156089401 startingPage "291" @default.
- W3156089401 abstract "Evolutionary population-based methods have found their applications in dealing with many real-world simulation experiments and mathematical modelling problems. The Moth-flame optimization (MFO) algorithm is one of the swarm intelligence algorithms and it can be used with constrained and unknown search spaces. However, there are still some defects in its performance, such as low solution accuracy, slow convergence, and insufficient exploration capability. This study improves the basic MFO algorithm from the perspective of improving exploration capability and proposes a hybrid swarm-based algorithm called SMFO. The essential notion is to further explore and scan the feature space with taking advantages of the sine cosine strategy. We methodically investigated the efficacy, solutions, and optimization compensations of the developed SMFO using more than a few demonstrative benchmark tests, together with unimodal, multimodal, hybrid and composition tasks, and two widely applied engineering test problems. The simulations point towards this fact that the diversification and intensification inclinations of the original MFO and its convergence traits are fortunately upgraded. The findings and remarks show that the suggested SMFO is a favourable algorithm and it can show superior efficacy compared to other techniques." @default.
- W3156089401 created "2021-04-26" @default.
- W3156089401 creator A5024138459 @default.
- W3156089401 creator A5043777472 @default.
- W3156089401 creator A5046692971 @default.
- W3156089401 creator A5055761370 @default.
- W3156089401 creator A5089702415 @default.
- W3156089401 date "2021-10-01" @default.
- W3156089401 modified "2023-10-16" @default.
- W3156089401 title "Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms" @default.
- W3156089401 cites W1136818270 @default.
- W3156089401 cites W1481602796 @default.
- W3156089401 cites W1777985119 @default.
- W3156089401 cites W1961948334 @default.
- W3156089401 cites W1968075052 @default.
- W3156089401 cites W1973412675 @default.
- W3156089401 cites W1999284878 @default.
- W3156089401 cites W2003890325 @default.
- W3156089401 cites W2011371124 @default.
- W3156089401 cites W2012459362 @default.
- W3156089401 cites W2081873429 @default.
- W3156089401 cites W2084581746 @default.
- W3156089401 cites W2091625991 @default.
- W3156089401 cites W2091638274 @default.
- W3156089401 cites W2096166399 @default.
- W3156089401 cites W2096673585 @default.
- W3156089401 cites W2112036188 @default.
- W3156089401 cites W2155993847 @default.
- W3156089401 cites W2165466912 @default.
- W3156089401 cites W2221148967 @default.
- W3156089401 cites W2232317135 @default.
- W3156089401 cites W2232748179 @default.
- W3156089401 cites W2466134622 @default.
- W3156089401 cites W2470299994 @default.
- W3156089401 cites W2507119315 @default.
- W3156089401 cites W2517600007 @default.
- W3156089401 cites W2551042279 @default.
- W3156089401 cites W2569008010 @default.
- W3156089401 cites W2600995621 @default.
- W3156089401 cites W2602271014 @default.
- W3156089401 cites W2609031355 @default.
- W3156089401 cites W2613208678 @default.
- W3156089401 cites W2613771876 @default.
- W3156089401 cites W2615743202 @default.
- W3156089401 cites W2732796807 @default.
- W3156089401 cites W2737965601 @default.
- W3156089401 cites W2751846886 @default.
- W3156089401 cites W2765169965 @default.
- W3156089401 cites W2765835127 @default.
- W3156089401 cites W2776226778 @default.
- W3156089401 cites W2778801251 @default.
- W3156089401 cites W2780800659 @default.
- W3156089401 cites W2792689221 @default.
- W3156089401 cites W2802292836 @default.
- W3156089401 cites W2802761309 @default.
- W3156089401 cites W2808701618 @default.
- W3156089401 cites W2809169054 @default.
- W3156089401 cites W2809457979 @default.
- W3156089401 cites W2821007499 @default.
- W3156089401 cites W2884935676 @default.
- W3156089401 cites W2885770227 @default.
- W3156089401 cites W2887171350 @default.
- W3156089401 cites W2890581334 @default.
- W3156089401 cites W2895965577 @default.
- W3156089401 cites W2898181566 @default.
- W3156089401 cites W2899250423 @default.
- W3156089401 cites W2901864827 @default.
- W3156089401 cites W2903034862 @default.
- W3156089401 cites W2911569307 @default.
- W3156089401 cites W2914128779 @default.
- W3156089401 cites W2916179546 @default.
- W3156089401 cites W2919979744 @default.
- W3156089401 cites W2926960342 @default.
- W3156089401 cites W2936227260 @default.
- W3156089401 cites W2942406509 @default.
- W3156089401 cites W2942487723 @default.
- W3156089401 cites W2945403926 @default.
- W3156089401 cites W2946361138 @default.
- W3156089401 cites W2947525988 @default.
- W3156089401 cites W2951404122 @default.
- W3156089401 cites W2954335066 @default.
- W3156089401 cites W2955322604 @default.
- W3156089401 cites W2960871125 @default.
- W3156089401 cites W2962004477 @default.
- W3156089401 cites W2967740205 @default.
- W3156089401 cites W2972785343 @default.
- W3156089401 cites W2973022519 @default.
- W3156089401 cites W2975524970 @default.
- W3156089401 cites W2982465647 @default.
- W3156089401 cites W2984098774 @default.
- W3156089401 cites W2986266941 @default.
- W3156089401 cites W2990991805 @default.
- W3156089401 cites W2991324256 @default.
- W3156089401 cites W2991414661 @default.
- W3156089401 cites W2996097017 @default.
- W3156089401 cites W2997630374 @default.
- W3156089401 cites W3000166736 @default.
- W3156089401 cites W3002603824 @default.