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 …
[图书][B] Computational intelligence: an introduction
AP Engelbrecht - 2007 - books.google.com
Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …
Self-adaptive learning PSO-based deadline constrained task scheduling for hybrid IaaS cloud
X Zuo, G Zhang, W Tan - IEEE Transactions on Automation …, 2013 - ieeexplore.ieee.org
Public clouds provide Infrastructure as a Service (IaaS) to users who do not own sufficient
compute resources. IaaS achieves the economy of scale by multiplexing, and therefore …
compute resources. IaaS achieves the economy of scale by multiplexing, and therefore …
Fitness-distance-ratio based particle swarm optimization
T Peram, K Veeramachaneni… - Proceedings of the 2003 …, 2003 - ieeexplore.ieee.org
This paper presents a modification of the particle swarm optimization algorithm (PSO)
intended to combat the problem of premature convergence observed in many applications of …
intended to combat the problem of premature convergence observed in many applications of …
Evolutionary artificial neural networks by multi-dimensional particle swarm optimization
In this paper, we propose a novel technique for the automatic design of Artificial Neural
Networks (ANNs) by evolving to the optimal network configuration (s) within an architecture …
Networks (ANNs) by evolving to the optimal network configuration (s) within an architecture …
Opposition-based particle swarm algorithm with Cauchy mutation
Particle swarm optimization (PSO) has shown its fast search speed in many complicated
optimization and search problems. However, PSO could often easily fall into local optima …
optimization and search problems. However, PSO could often easily fall into local optima …
On the convergence analysis and parameter selection in particle swarm optimization
YL Zheng, LH Ma, LY Zhang… - Proceedings of the 2003 …, 2003 - ieeexplore.ieee.org
A PSO with increasing inertia weight, distinct from a widely used PSO with decreasing inertia
weight, is proposed in this paper. Far from drawing conclusions from sole empirical study or …
weight, is proposed in this paper. Far from drawing conclusions from sole empirical study or …
Optimization using particle swarms with near neighbor interactions
K Veeramachaneni, T Peram, C Mohan… - Genetic and Evolutionary …, 2003 - Springer
This paper presents a modification of the particle swarm optimization algorithm (PSO)
intended to combat the problem of premature convergence observed in many applications of …
intended to combat the problem of premature convergence observed in many applications of …
Empirical study of particle swarm optimizer with an increasing inertia weight
Y Zheng, L Ma, L Zhang, J Qian - The 2003 Congress on …, 2003 - ieeexplore.ieee.org
A PSO with increasing inertia weight, distinct from a widely used PSO with decreasing inertia
weight, is proposed in this paper. Four standard test functions with asymmetric initial range …
weight, is proposed in this paper. Four standard test functions with asymmetric initial range …
Fractional particle swarm optimization in multidimensional search space
In this paper, we propose two novel techniques, which successfully address several major
problems in the field of particle swarm optimization (PSO) and promise a significant …
problems in the field of particle swarm optimization (PSO) and promise a significant …