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Zool Hilmi Ismail and Mohd Ghazali Mohd Hamami
In this work, a systematic literature review of SR strategies has been applied to target search problems with environment constraints, to show which are being explored in the fields as well as the current state-of-the-art SR approaches performance which ...
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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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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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Rodney Mushininga, Livashen Moodley
Pág. 529 - 538
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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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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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Zhixiang Hu, Huiyu Zhu, Lei Huang and Cheng Cheng
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Gabriella Kicska and Attila Kiss
Nowadays, the high-dimensionality of data causes a variety of problems in machine learning. It is necessary to reduce the feature number by selecting only the most relevant of them. Different approaches called Feature Selection are used for this task. In...
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Zhihong Ouyang, Lei Xue, Feng Ding and Da Li
Linear approximate segmentation and data compression of moving target spatio-temporal trajectory can reduce data storage pressure and improve the efficiency of target motion pattern mining. High quality segmentation and compression need to accurately sel...
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Nebojsa Bacanin, Timea Bezdan, Eva Tuba, Ivana Strumberger and Milan Tuba
Computer vision is one of the most frontier technologies in computer science. It is used to build artificial systems to extract valuable information from images and has a broad range of applications in various areas such as agriculture, business, and hea...
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Piotr Jedrzejowicz and Izabela Wierzbowska
One of the possible approaches to solving difficult optimization problems is applying population-based metaheuristics. Among such metaheuristics, there is a special class where searching for the best solution is based on the collective behavior of decent...
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Bindu Varshini Kosanam,Abhinay Kukkadapu
Pág. 46 - 52
Traffic congestion is one of the major problems in many of metro cities all over the world today. It affects daily life in many aspects such as improper time management, stress, frustration which leads to reckless driving. Average time to reach destinati...
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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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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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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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Haojie Zhu, Mou Chen, Zengliang Han and Mihai Lungu
This paper concerns the fire-control command calculation (FCCC) of an unmanned autonomous helicopter (UAH). It determines the final effect of the UAH attack. Although many different FCCC methods have been proposed for finding optimal or near-optimal fire...
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Ke Chen, Bo Xiao, Chunyang Wang, Xuelian Liu, Shuning Liang and Xu Zhang
In today?s automation control systems, the PID controller, as a core technology, is widely used to maintain the system output near the set value. However, in some complex control environments, such as the application of ball screw-driven rotating motors,...
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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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Anton Tolstikhin
Currently, the sampling problem has gained wide popularity in the field of autonomous mobile agent control due to the wide range of practical and fundamental problems described with its framework. This paper considers a combined decentralized control str...
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