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Computational Intelligence for Solving Complex Optimization Problems [PDF]
E3S Web of Conferences, 2023 Complex optimization issues may now be solved using computational intelligence (CI), which has shown to be a powerful and diverse discipline. Traditional optimization approaches frequently struggle to offer efficient and effective solutions because real ...
Khan Shakir +5 more
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Applications of different machine learning approaches in prediction of breast cancer diagnosis delay
Frontiers in Oncology, 2023 BackgroundThe increasing rate of breast cancer (BC) incidence and mortality in Iran has turned this disease into a challenge. A delay in diagnosis leads to more advanced stages of BC and a lower chance of survival, which makes this cancer even more fatal.
Samira Dehdar +6 more
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HHO-LPWSN: Harris Hawks Optimization Algorithm for Sensor Nodes Localization Problem in Wireless Sensor Networks [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2021 Wireless sensor network (WSN) is a prominent technology for remote area monitoring with the assimilation of the Internet of Things (IoT). Over the past decades, sensor node localization has become an essential challenge of WSNs.
Ravi Sharma, Shiva Prakash
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Mathematics, 2023 Fixed-point theory plays many important roles in real-world problems, such as image processing, classification problem, etc. This paper introduces and analyzes a new, accelerated common-fixed-point algorithm using the viscosity approximation method and ...
Kobkoon Janngam +4 more
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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem
Qubahan Academic Journal, 2023 Swarm Intelligence algorithms are computational intelligence algorithms inspired from the collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm, and other swarms in the nature.
Awaz Ahmad Shaban +3 more
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Advances in Mechanical Engineering, 2021 At present, there are some problems that need to be solved in crane steel structure design, such as heavy self-weight of finished structure, high production energy consumption, and huge manufacturing costs.
Qisong Qi +4 more
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Dove Swarm Optimization Algorithm
IEEE Access, 2022 Popular methods to deal with computation become strenuous due to the optimization demands that develop more complex nowadays. This research aims to propose a new optimal algorithm, Dove Swarm Optimization (DSO), that adopts the foraging behaviors of ...
Mu-Chun Su +4 more
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Benchmark Tests on Heuristic Methods in the Darts Game [PDF]
International Journal of Electronics and Telecommunications, 2018 Games are among problems that can be reduced to optimization, for which one of the most universal and productive solving method is a heuristic approach.
Kamil Książek +2 more
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Swarm-Intelligence Optimization Method for Dynamic Optimization Problem
Mathematics, 2022 In recent years, the vigorous rise in computational intelligence has opened up new research ideas for solving chemical dynamic optimization problems, making the application of swarm-intelligence optimization techniques more and more widespread.
Rui Liu +5 more
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Journal of Information and Telecommunication, 2023 Agent-based evolutionary, computational systems have been proven to be an efficient concept for solving complex computational problems. This paper is an extension of [Biełaszek, S., Piętak, K., & Kisiel-Dorohinicki, M. (2021).
Sylwia Biełaszek +2 more
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