Zobrazeno 1 - 10
of 2 870
pro vyhledávání: '"Many-objective optimization"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-33 (2024)
Abstract Multi-constraint UAV path planning problems can be viewed as many-objective optimization problems that can be solved by meta-heuristic algorithms with good self-organizing optimization capabilities. However, such algorithms mostly use random
Externí odkaz:
https://doaj.org/article/5c5454f3453e4a549a54f68696e319fb
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 5, Pp 45-54 (2024)
The optimization of imaging reconnaissance constellation is of great significance for reconnaissance timeliness. At present, evolutionary algorithms based on Pareto are often used in the optimization of reconnaissance constellation. In order to solve
Externí odkaz:
https://doaj.org/article/9c680507774345acb511f6eac4dc3430
Publikováno v:
Wind Energy, Vol 27, Iss 9, Pp 847-872 (2024)
Abstract This study introduces a constrained many‐objective optimization approach for the optimal design of 20 MW direct drive (DD) permanent magnet synchronous generators (PMSGs). Designing a high‐performance, competitive DD‐PMSG requires cons
Externí odkaz:
https://doaj.org/article/c9fa7dcdfd8246bcb8eff90a6be71a98
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-34 (2024)
Abstract In metaheuristic multi-objective optimization, the term effectiveness is used to describe the performance of a metaheuristic algorithm in achieving two main goals—converging its solutions towards the Pareto front and ensuring these solutio
Externí odkaz:
https://doaj.org/article/70901e808bde49e890d85579b28663a7
Autor:
LIU Yali, XIONG Wei
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 4, Pp 97-104 (2024)
In order to further solve the optimization problem of reconnaissance constellation and strengthen the construction of space-based reconnaissance system, the current optimization methods of reconnaissance constellation are studied and summarized. The
Externí odkaz:
https://doaj.org/article/1ef3da1355764b5e9cbe761481b2a63f
Autor:
Ji Lin, Quanliang Liu
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7349-7371 (2024)
Abstract Many engineering problems are essentially expensive multi-/many-objective optimization problems, and surrogate-assisted evolutionary algorithms have gained widespread attention in dealing with them. As the objective dimension increases, the
Externí odkaz:
https://doaj.org/article/43509957c90642cab11e64c75ab64235
Autor:
Kanak Kalita, Janjhyam Venkata Naga Ramesh, Robert Čep, Pradeep Jangir, Sundaram B. Pandya, Ranjan Kumar Ghadai, Laith Abualigah
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-33 (2024)
Abstract In this paper, a novel Many-Objective Whale Optimization Algorithm (MaOWOA) is proposed to overcome the challenges of large-scale many-objective optimization problems (LSMOPs) encountered in diverse fields such as engineering. Existing algor
Externí odkaz:
https://doaj.org/article/5d8840c8e0804d68aeaf309b0e22d79e
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6509-6543 (2024)
Abstract Although the multiobjective evolutionary algorithms (MOEAs) have been proved to bring promising prospects for solving multiobjective optimization problems (MOPs), the performance of the algorithm deteriorates sharply in high-dimensional obje
Externí odkaz:
https://doaj.org/article/b4c715e8892e49ba8234e59e07e8367d
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6839-6865 (2024)
Abstract The primary objective of multi-objective evolutionary algorithms (MOEAs) is to find a set of evenly distributed nondominated solutions that approximate the Pareto front (PF) of a multi-objective optimization problem (MOP) or a many-objective
Externí odkaz:
https://doaj.org/article/a0011dfdaf454f1992ddd309c88fd138
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Background Drug design is a challenging and important task that requires the generation of novel and effective molecules that can bind to specific protein targets. Artificial intelligence algorithms have recently showed promising potential t
Externí odkaz:
https://doaj.org/article/4e2ed60152f34aa3a9665f9dc8c02b1b