Zobrazeno 1 - 10
of 9 304
pro vyhledávání: '"Optimization problems."'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract The sand cat swarm optimization (SCSO) is a recently proposed meta-heuristic algorithm. It inspires hunting behavior with sand cats based on hearing ability. However, in the later stage of SCSO, it is easy to fall into local optimality and c
Externí odkaz:
https://doaj.org/article/9e7e48d6783c46cead42c8c25b941295
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
Applications of the neuro-evolutionary approach to the parabolic type partial differential equations
Publikováno v:
Ain Shams Engineering Journal, Vol 16, Iss 1, Pp 103186- (2025)
This work aims to investigate the Cuckoo search-active set algorithm (CS-ASA), which is based on the artificial neural network (ANN) approach to the nonlinear partial differential equations (PDEs). CS-ASA technique modifies the Cuckoo search best pos
Externí odkaz:
https://doaj.org/article/ee2d688b617c47f7af7da2c45fb433e6
Publikováno v:
Results in Control and Optimization, Vol 17, Iss , Pp 100486- (2024)
In this article, we study nonconvex multiobjective fractional programming problems involving E-differentiable functions (MFPE). We establish the E-Karush–Kuhn–Tucker (E-KKT) sufficient E-optimality conditions for nonsmooth vector optimization pro
Externí odkaz:
https://doaj.org/article/93e890e6381a4488ac5c3266feb3172a
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTUrban spatial decision analysis is a critical component of spatial optimization and has profound implications in various fields, such as urban planning, logistics distribution, and emergency management. Existing studies on urban facility loca
Externí odkaz:
https://doaj.org/article/2d3de2dd3ce246648e78277ba0272e6c
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7711-7740 (2024)
Abstract In this paper, we propose a multi-stage evolutionary framework with adaptive selection (MSEFAS) for efficiently handling constrained multi-objective optimization problems (CMOPs). MSEFAS has two stages of optimization in its early phase of e
Externí odkaz:
https://doaj.org/article/66e1a9c0cc8c4dce8b48a844a925e211
Publikováno v:
Alexandria Engineering Journal, Vol 98, Iss , Pp 364-389 (2024)
There are many classic highly complex optimization problems in the world, therefore, it is still necessary to find an applicable and effective algorithm to solve these problems. In this paper, self-adaptive hybrid cross mutation slime mold algorithm
Externí odkaz:
https://doaj.org/article/bdd3c37137e347ed983f2ba201cd8c36