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Fatma H. El-Fouly, Mnaouer Kachout, Yasser Alharbi, Jalawi Sulaiman Alshudukhi, Abed Alanazi and Rabie A. Ramadan
Authors are encouraged to provide a concise description of the specific application or a potential application of the work. This section is not mandatory.
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Juan F. Guerra, Ramon Garcia-Hernandez, Miguel A. Llama and Victor Santibañez
This work presents a comprehensive comparative analysis of four prominent swarm intelligence (SI) optimization algorithms: Ant Lion Optimizer (ALO), Bat Algorithm (BA), Grey Wolf Optimizer (GWO), and Moth Flame Optimization (MFO). When compared under the...
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Ren-Raw Chen, Cameron D. Miller and Puay Khoon Toh
Swarm intelligence has promising applications for firm search and decision-choice problems and is particularly well suited for examining how other firms influence the focal firm?s search. To evaluate search performance, researchers examining firm search ...
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Ren-Raw Chen, Cameron D. Miller and Puay Khoon Toh
We developed a swarm intelligence-based model to study firm search across innovation topics. Firm search modeling has primarily been ?firm-centric,? emphasizing the firm?s own prior performance. Fields interested in firm search behavior?strategic managem...
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Jiayu Wen, Yanguo Song, Huanjin Wang, Dong Han and Changfa Yang
Neural networks have been widely used as compensational models for aircraft control designs and as surrogate models for other optimizations. In the case of tiltrotor aircraft, the total number of aircraft states and controls is much greater than that of ...
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