Reliability optimization of a series-parallel system with fuzzy random lifetimes
S Wang, J Watada - International Journal of Innovative …, 2009 - scholar.archive.org
This paper studies reliability optimization of a series-parallel system with fuzzy random
lifetimes. A fuzzy random reliability model is developed to maximize the system reliability …
lifetimes. A fuzzy random reliability model is developed to maximize the system reliability …
[PDF][PDF] 基于改进的粒子群遗传算法的犇犖犃编码序列优化
崔光照， 李小广， 张勋才， 王延峰， 李翠玲 - 计算机学报, 2010 - cjc.ict.ac.cn
摘要在DNA 计算中, DNA 编码序列的设计是影响DNA 计算可靠性的重要手段. 在不同的DNA
序列设计中, 应该选择适当的约束条件, 并且根据相应的约束条件提出每个DNA …
序列设计中, 应该选择适当的约束条件, 并且根据相应的约束条件提出每个DNA …
Binary pso with classification trees algorithm for enhancing power efficiency in 5g networks
M Osama, S El Ramly, B Abdelhamid - Sensors, 2022 - mdpi.com
The dense deployment of small cells (SCs) in the 5G heterogeneous networks (HetNets)
fulfills the demand for vast connectivity and larger data rates. Unfortunately, the power …
fulfills the demand for vast connectivity and larger data rates. Unfortunately, the power …
A variable neighborhood binary particle swarm algorithm for cell layout problem
In this paper, a new mathematical model is proposed for inter-and intra-cell layout problem
in cellular manufacturing system. A binary particle swarm optimization algorithm with a new …
in cellular manufacturing system. A binary particle swarm optimization algorithm with a new …
A new particle swarm feature selection method for classification
Searching for an optimal feature subset from a high-dimensional feature space is an NP-
complete problem; hence, traditional optimization algorithms are inefficient when solving …
complete problem; hence, traditional optimization algorithms are inefficient when solving …
In search of the essential binary discrete particle swarm
E Chen, J Li, X Liu - Applied Soft Computing, 2011 - Elsevier
The particle swarm optimization algorithm is an innovative and competitive optimization
technique in evolutionary computation. It has been found to be extremely effective in solving …
technique in evolutionary computation. It has been found to be extremely effective in solving …
[PDF][PDF] Particle swarm optimization: a study of variants and their applications
In order to improve the performance of PSO algorithm, number of its variants has been
made. This paper presents detail overview of the basic concepts of PSO and its variants …
made. This paper presents detail overview of the basic concepts of PSO and its variants …
Resource allocation and user association in user-centric dense mmWave cellular networks
User-centric overlapped clustering, relying on base station (BS) cooperation, is a promising
architecture for densely deployed BSs in millimeter-wave (mmWave) networks. In this …
architecture for densely deployed BSs in millimeter-wave (mmWave) networks. In this …
A new weighted mixed integer nonlinear model and FPND solution algorithm for RCPSP with multi-route work packages under fuzzy uncertainty
A Birjandi, SM Mousavi, M Hajirezaie… - Journal of Intelligent …, 2019 - content.iospress.com
Multiple routes of networks in fuzzy environments are essential issues in the project
scheduling problems (PSPs) with resource constraints, fuzzy RCPSP-MR. Route assignment …
scheduling problems (PSPs) with resource constraints, fuzzy RCPSP-MR. Route assignment …
Optimisation of PID controller for load frequency control in two-area power system using evolutionary particle swarm optimisation
The main objectives of load frequency control (LFC) are to regulate the electrical power
supply in two-area power system and change the system frequency and tie-line load. The …
supply in two-area power system and change the system frequency and tie-line load. The …