A review on computational intelligence for identification of nonlinear dynamical systems
This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems
L dos Santos Coelho - Expert Systems with Applications, 2010 - Elsevier
Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that
shares many similarities with evolutionary computation techniques. However, the PSO is …
shares many similarities with evolutionary computation techniques. However, the PSO is …
Quantum-behaved particle swarm optimization: analysis of individual particle behavior and parameter selection
Quantum-behaved particle swarm optimization (QPSO), motivated by concepts from
quantum mechanics and particle swarm optimization (PSO), is a probabilistic optimization …
quantum mechanics and particle swarm optimization (PSO), is a probabilistic optimization …
[图书][B] Evolving connectionist systems: the knowledge engineering approach
NK Kasabov - 2007 - books.google.com
This second edition of the must-read work in the field presents generic computational
models and techniques that can be used for the development of evolving, adaptive modeling …
models and techniques that can be used for the development of evolving, adaptive modeling …
Quantum optimization and quantum learning: A survey
Quantum mechanism, which has received widespread attention, is in continuous evolution
rapidly. The powerful computing power and high parallel ability of quantum mechanism …
rapidly. The powerful computing power and high parallel ability of quantum mechanism …
A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units
With increasing penetration of renewable energy sources, it is necessary to analyze its
impact on the allocation of optimal power generation schedule. In this work, the pumped …
impact on the allocation of optimal power generation schedule. In this work, the pumped …
A quantum particle swarm optimizer with chaotic mutation operator
L dos Santos Coelho - Chaos, Solitons & Fractals, 2008 - Elsevier
Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that
shares many similarities with evolutionary computation techniques. However, the PSO is …
shares many similarities with evolutionary computation techniques. However, the PSO is …
Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects
L dos Santos Coelho, VC Mariani - Energy Conversion and Management, 2008 - Elsevier
Particle swarm optimization (PSO) algorithm is population-based heuristic global search
algorithm inspired by social behavior patterns of organisms that live and interact within large …
algorithm inspired by social behavior patterns of organisms that live and interact within large …
A quantum-inspired gravitational search algorithm for binary encoded optimization problems
H Nezamabadi-Pour - Engineering Applications of Artificial Intelligence, 2015 - Elsevier
In this paper, a novel population based metaheuristic search algorithm by combination of
gravitational search algorithm (GSA) and quantum computing (QC), called a Binary …
gravitational search algorithm (GSA) and quantum computing (QC), called a Binary …
Applications of quantum inspired computational intelligence: a survey
A Manju, MJ Nigam - Artificial Intelligence Review, 2014 - Springer
This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …