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SC - system of convergence: theory and foundations
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2015)
Optimal Portfolio and Consumption in a Switching Diffusion MarketOptimal Portfolio and Consumption in a Switching Diffusion Market
(Sociedade Brasileira de Econometria, 2004)
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 ...
How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms
(Springer, 2021)
SVM with an RBF kernel is usually one of the best classification algorithms for most data sets, but it is important to tune the two hyperparameters C and γ to the data itself. In general, the selection of the hyperparameters ...
Optimization of Seebeck nanoantenna-based infrared harvesters
(OSA Publishing, 2021)
First- and Second-Order Optimality Conditions for Optimal Control Problems of State Constrained Integral Equations
(Springer/Plenum Publishers, 2013-10)
This paper deals with optimal control problems of integral equations, with initial-final and running state constraints. The order of a running state constraint is defined in the setting of integral dynamics, and we work ...
Generalization of the MOACS algorithm for Many Objectives: An application to motorcycle distribution
(Centro Latinoamericano de Estudios en Informática, 2015)
Solving engineering optimization problems with the simple constrained particle swarm optimizer
(Slovenian Society Informatika, 2008-12)
This paper introduces a particle swarm optimization algorithm to solve constrained engineering optimization problems. The proposed approach uses a relatively simple method to handle constraints and a different mechanism ...
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, ...
Yield-driven electromagnetic optimization via space mapping-based neuromodels
(Int. J. RF and Microwave CAE, 2002-01)