PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems
The development of the meta-heuristic algorithms for solving the optimization problems and
constrained engineering problems is one of the topics of interest to researchers in recent …
constrained engineering problems is one of the topics of interest to researchers in recent …
Meta-heuristic global optimization algorithms for aircraft engines modelling and controller design; A review, research challenges, and exploring the future
S Jafari, T Nikolaidis - Progress in aerospace sciences, 2019 - Elsevier
Utilizing meta-heuristic global optimization algorithms in gas turbine aero-engines modelling
and control problems is proposed over the past two decades as a methodological approach …
and control problems is proposed over the past two decades as a methodological approach …
[HTML][HTML] Task-based system load balancing in cloud computing using particle swarm optimization
Live virtual machine (VM) migration is a technique for achieving system load balancing in a
cloud environment by transferring an active VM from one physical host to another. This …
cloud environment by transferring an active VM from one physical host to another. This …
GSAGA: A hybrid algorithm for task scheduling in cloud infrastructure
Cloud computing is becoming a very popular form of distributed computing, in which digital
resources are shared via the Internet. The user is provided with an overview of many …
resources are shared via the Internet. The user is provided with an overview of many …
[HTML][HTML] Evolutionary algorithm-based multi-objective task scheduling optimization model in cloud environments
Optimizing task scheduling in a distributed heterogeneous computing environment, which is
a nonlinear multi-objective NP-hard problem, plays a critical role in decreasing service …
a nonlinear multi-objective NP-hard problem, plays a critical role in decreasing service …
Task scheduling optimization in cloud computing applying multi-objective particle swarm optimization
Optimizing the scheduling of tasks in a distributed heterogeneous computing environment is
a nonlinear multi-objective NP-hard problem which is playing an important role in optimizing …
a nonlinear multi-objective NP-hard problem which is playing an important role in optimizing …
Modified multi-objective evolutionary programming algorithm for solving project scheduling problems
MA Abido, A Elazouni - Expert Systems with Applications, 2021 - Elsevier
Abstract Though the Genetic Algorithm (GA) has received considerable attention recently in
solving multi-objective optimization problems, inefficiency regarding performance has been …
solving multi-objective optimization problems, inefficiency regarding performance has been …
An improved particle swarm optimization based on the reinforcement of the population initialization phase by scrambled Halton sequence
The use of meta-heuristic methods for solving nonlinear engineering and optimization
problems is one of the paramount topics that attracted the attention of the researchers …
problems is one of the paramount topics that attracted the attention of the researchers …
Multi-objective particle swarm optimization with random immigrants
AN Ünal, G Kayakutlu - Complex & Intelligent Systems, 2020 - Springer
Complex problems of the current business world need new approaches and new
computational algorithms for solution. Majority of the issues need analysis from different …
computational algorithms for solution. Majority of the issues need analysis from different …
A novel fault detection method for an integrated navigation system using Gaussian process regression
Y Zhu, X Cheng, L Wang - The journal of navigation, 2016 - cambridge.org
For the integrated navigation system, the correctness and the rapidity of fault detection for
each sensor subsystem affects the accuracy of navigation. In this paper, a novel fault …
each sensor subsystem affects the accuracy of navigation. In this paper, a novel fault …