Zobrazeno 1 - 10
of 4 514
pro vyhledávání: '"Estimation of Distribution"'
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 51, Iss 3, Pp 149-157 (2024)
Most of the optimization algorithms to solve the slope critical sliding surface have the disadvantages of complex structure, difficult to determine the parameter value, and poor optimization effect. This study introduced the estimation of the distrib
Externí odkaz:
https://doaj.org/article/2f07725f6bb74bdeaa6a8bcf8501f586
Publikováno v:
IET Collaborative Intelligent Manufacturing, Vol 6, Iss 3, Pp n/a-n/a (2024)
Abstract Distributed assembly permutation flow shop scheduling problem is the hot spot of distributed pipeline scheduling research; however, parallel assembly machines are often in the assembly stage. Therefore, we propose and study distributed paral
Externí odkaz:
https://doaj.org/article/b2ec42691ea34a3e9d19bee2771d9143
Publikováno v:
IEEE Access, Vol 12, Pp 123640-123655 (2024)
With the rapid growth of the mobile computing techniques, a wide variety of mobile edge computing (MEC) applications have emerged recently, aiming to provide computationally intensive and delay-sensitive network services. Through MEC, various complex
Externí odkaz:
https://doaj.org/article/a32ab3d85fd0484f93c36e679d9108a7
Publikováno v:
Biomimetics, Vol 9, Iss 11, p 652 (2024)
The Nash social welfare (NSW) problem is relevant not only to the economic domain but also extends its applicability to the field of computer science. However, maximizing Nash social welfare is an APX-hard problem. In this study, we propose two appro
Externí odkaz:
https://doaj.org/article/b873c078f9bd4a8484b19868950ee293
Autor:
Roman Dębski, Rafał Dreżewski
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5919 (2024)
The paper proposes an innovative adaptation of the estimation of distribution algorithm (EDA), intended for multi-objective optimisation of a ship’s route in a non-stationary environment (tidal waters). The key elements of the proposed approach—t
Externí odkaz:
https://doaj.org/article/fbc8b004301341d1810e1cb346073f1f
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 413-434 (2023)
Abstract Efficient allocating and scheduling emergency rescue tasks are a primary issue for emergency management. This paper considers emergency scheduling of rescue tasks under stochastic deterioration of the injured. First, a mathematical model is
Externí odkaz:
https://doaj.org/article/bfc5c01936fd49608c08c930cdeda75e
Publikováno v:
Nanomaterials, Vol 14, Iss 13, p 1107 (2024)
Magnetic metal absorbing materials have exhibited excellent absorptance performance. However, their applications are still limited in terms of light weight, low thickness and wide absorption bandwidth. To address this challenge, we design a broadband
Externí odkaz:
https://doaj.org/article/490d0368b65b457f931d3510939b8226
Autor:
Tshewang Phuntsho, Tad Gonsalves
Publikováno v:
Algorithms, Vol 17, Iss 5, p 180 (2024)
Resource Constraint Project Scheduling Problems with Discounted Cash Flows (RCPSPDC) focuses on maximizing the net present value by summing the discounted cash flows of project activities. An extension of this problem is the Payment at Event Occurren
Externí odkaz:
https://doaj.org/article/f1f51b9a3fe846d5a9c6f6a57971f0c7
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5377-5416 (2023)
Abstract The canonical estimation of distribution algorithm (EDA) easily falls into a local optimum with an ill-shaped population distribution, which leads to weak convergence performance and less stability when solving global optimization problems.
Externí odkaz:
https://doaj.org/article/8b829c66835d4ceab9a7fa11a30abed9
Autor:
Ren Yuhang, Zhang Liang
Publikováno v:
IEEE Access, Vol 11, Pp 50038-50051 (2023)
This paper concerns the multi-UAV cooperative path planning problem, which is solved by multi-objective optimization and by an adaptive evolutionary multi-objective estimation of distribution algorithm (AEMO-EDA). Since the traditional multi-objectiv
Externí odkaz:
https://doaj.org/article/6a8d124998684d508574717d052f8e85