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Solving biobjective set covering problem using binary cat swarm optimization algorithm
(Springer Verlag, 2016)
Harnessing Particle Swarm optimization through Relativistic Velocity
(2020-07-01)
In the last century, Albert Einstein's perceptions of the world afforded a revolution in the understanding of the universe. In his theory of general relativity, he describes the space-time continuum, a concept capable of ...
Harnessing Particle Swarm Optimization Through Relativistic Velocity
(Ieee, 2020-01-01)
In the last century, Albert Einstein's perceptions of the world afforded a revolution in the understanding of the universe. In his theory of general relativity, he describes the space-time continuum, a concept capable of ...
Swarm control designs applied to a micro-electro-mechanical gyroscope system (MEMS)
(2010-12-01)
This paper analyzes the non-linear dynamics of a MEMS Gyroscope system, modeled with a proof mass constrained to move in a plane with two resonant modes, which are nominally orthogonal. The two modes are ideally coupled ...
Swarm control designs applied to a micro-electro-mechanical gyroscope system (MEMS)
(2010-12-01)
This paper analyzes the non-linear dynamics of a MEMS Gyroscope system, modeled with a proof mass constrained to move in a plane with two resonant modes, which are nominally orthogonal. The two modes are ideally coupled ...
A particle swarm optimizer for multi-objective optimization
(Universidad Nacional de La Plata. Facultad de Informática, 2005-12)
This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a ...
Optimization of modular structures using Particle Swarm Optimization
(Pergamon-elsevier Science LtdOxfordInglaterra, 2012)
Optimal drug infusion profiles using a Particle Swarm Optimization algorithm
(Elsevier, 2015-11)
The dynamic optimization of the administration of therapeutic drugs in simulated patients is proposed. The approach is based on a non-linear discontinuous cardiorespiratory model, which has been conceived to simulate the ...
Accelerated particle swarm optimization with explicit consideration of model constraints
(Springer, 2020-03)
Population based metaheuristic can benefit from explicit parallelization in order to address complex numerical optimization problems. Typical realistic problems usually involve non-linear functions and many constraints, ...
Multi-class particle swarm model selection for automatic image annotation
(Elsevier Ltd., 2012)