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Yi?an Wang, Zhe Wu and Dong Ni
Optimizing the heliostat field aiming strategy is crucial for maximizing thermal power production in solar power tower (SPT) plants while adhering to operational constraints. Although existing approaches can yield highly optimal solutions, their consider...
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Ouarda Zedadra, Antonio Guerrieri, Hamid Seridi, Aymen Benzaid and Giancarlo Fortino
Efficiently searching for multiple targets in complex environments with limited perception and computational capabilities is challenging for multiple robots, which can coordinate their actions indirectly through their environment. In this context, swarm ...
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Chenglou Liu, Fangfang Xie and Tingwei Ji
Formation path planning is a significant cornerstone for unmanned aerial vehicle (UAV) swarm intelligence. Previous methods were not suitable for large-scale UAV formation, which suffered from poor formation maintenance and low planning efficiency. To th...
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Rodney Mushininga, Livashen Moodley
Pág. 529 - 538
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Sean Grimes and David E. Breen
Wisdom-of-Crowds-Bots (WoC-Bots) are simple, modular agents working together in a multi-agent environment to collectively make binary predictions. The agents represent a knowledge-diverse crowd, with each agent trained on a subset of available informatio...
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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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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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Fabrice Saffre, Hanno Hildmann and Antti Anttonen
This paper introduces a novel distributed algorithm designed to optimize the deployment of access points within Mobile Ad Hoc Networks (MANETs) for better service quality in infrastructure-less environments. The algorithm operates based on local, indepen...
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