A review of optimization techniques in spacecraft flight trajectory design
For most atmospheric or exo-atmospheric spacecraft flight scenarios, a well-designed
trajectory is usually a key for stable flight and for improved guidance and control of the …
trajectory is usually a key for stable flight and for improved guidance and control of the …
Optimisation of mooring line parameters for offshore floating structures: A review paper
The increased application of Information and Communications Technology in automation
and digitization is the driving concept towards the actualization of the Industrial Revolution …
and digitization is the driving concept towards the actualization of the Industrial Revolution …
Position-transitional particle swarm optimization-incorporated latent factor analysis
High-dimensional and sparse (HiDS) matrices are frequently found in various industrial
applications. A latent factor analysis (LFA) model is commonly adopted to extract useful …
applications. A latent factor analysis (LFA) model is commonly adopted to extract useful …
A survey of learning-based intelligent optimization algorithms
A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …
extensively researched in the past few decades, through the study of natural creatures, and …
[HTML][HTML] Population size in particle swarm optimization
AP Piotrowski, JJ Napiorkowski… - Swarm and Evolutionary …, 2020 - Elsevier
Abstract Particle Swarm Optimization (PSO) is among the most universally applied
population-based metaheuristic optimization algorithms. PSO has been successfully used in …
population-based metaheuristic optimization algorithms. PSO has been successfully used in …
An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems
HRR Zaman, FS Gharehchopogh - Engineering with Computers, 2022 - Springer
The particle swarm optimization (PSO) is a population-based stochastic optimization
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …
Profit-maximized collaborative computation offloading and resource allocation in distributed cloud and edge computing systems
Edge computing is a new architecture to provide computing, storage, and networking
resources for achieving the Internet of Things. It brings computation to the network edge in …
resources for achieving the Internet of Things. It brings computation to the network edge in …
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Particle swarm optimization (PSO) has shown its advantages in various optimization
problems. Topology and updating strategies are among its key concepts and have …
problems. Topology and updating strategies are among its key concepts and have …
A modified particle swarm optimization for multimodal multi-objective optimization
As an effective evolutionary algorithm, particle swarm optimization (PSO) has been widely
used to solve single or multi-objective optimization problems. However, the performance of …
used to solve single or multi-objective optimization problems. However, the performance of …
Improving metaheuristic algorithms with information feedback models
In most metaheuristic algorithms, the updating process fails to make use of information
available from individuals in previous iterations. If this useful information could be exploited …
available from individuals in previous iterations. If this useful information could be exploited …