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Distribution based artificial fish swarm in continuous global optimization
Rocha, Ana Maria A. C.; Costa, M. Fernanda P.; Fernandes, Edite Manuela da G. P.Distribution based artificial fish swarm (DbAFS) is a new heuristic for continuous global optimization. Based on the artificial fish swarm paradigm, the new algorithm generates trial points from the Gaussian distribution, where the mean is the midpoint between the current and the target point and the standard deviation is the difference between those two points. A local search procedure is incorporated into the...
A global optimization method to solve engineering design problems
Rocha, Ana Maria A. C.; Costa, M. Fernanda P.; Fernandes, Edite Manuela da G. P.Distribution based artificial fish swarm is a new heuristic for continuous global optimization. Based on the artificial fish swarm paradigm, the new algorithm generates trial points from the Gaussian distribution, where the mean is the target point and the standard deviation is the difference between the current and the target point. A local search procedure is incorporated into the algorithm aiming to improve the ...
Hooke and Jeeves based multilevel coordinate search to globally solving nonsmoo...
Costa, M. Fernanda P.; Rocha, Ana Maria A. C.; Fernandes, Edite Manuela da G. P.Publicado em "AIP Conference Proceedings", vol. 1558 ; In this paper, we present a derivative-free multilevel coordinate search (MCS) approach, that relies on the Hooke and Jeeves local search, for globally solving bound constrained optimization problems. Numerical experiments show that the proposed algorithm is effective in solving benchmark problems, when compared with the well-known solvers MCS and DIRECT.
Multistart Hooke and Jeeves filter method for mixed variable optimization
Fernandes, Florbela P.; Costa, M. Fernanda P.; Fernandes, Edite Manuela da G. P.; Rocha, Ana Maria A. C.AIP Conference Proceedings, vol. 1558 ; In this study, we propose an extended version of the Hooke and Jeeves algorithm that uses a simple heuristic to handle integer and/or binary variables and a filter set methodology to handle constraints. This proposal is integrated into a multistart method as a local solver and it is repeatedly called in order to compute different optimal solutions. Then, the best of all ...
Multilocal programming : a derivative-free filter multistart algorithm
Fernandes, Florbela P.; Costa, M. Fernanda P.; Fernandes, Edite Manuela da G. P.Multilocal programming aims to locate all the local solutions of an optimization problem. A stochastic method based on a multistart strategy and a derivative-free filter local search for solving general constrained optimization problems is presented. The filter methodology is integrated into a coordinate search paradigm in order to generate a set of trial approximations that might be acceptable if they improve ...
A modified fractional zener model to describe the behaviour of a carbon fibre r...
Costa, M. Fernanda P.; Ribeiro, Carolina Paula BaptistaIn this work a modified conventional Fractional Zener Model is deduced and applied to estimate the viscoelastic constitutive parameters of a Carbon Fibre Reinforced Polymer. The accuracy of this modified model was studied against conventional Fractional Zener model and Fractional Maxwell model, considering experimental data in the frequency domain. The set of parameters was found by solving a nonlinear constrai...
Generating human-like movements on an anthropomorphic robot using an interior p...
Silva, Eliana Costa e; Araújo, José Pedro Ferreira; Machado, Dario; Costa, M. Fernanda P.; Erlhagen, Wolfram; Bicho, E.In previous work we have presented a model for generating human-like arm and hand movements on an anthropomorphic robot involved in human-robot collaboration tasks. This model was inspired by the Posture-Based Motion-Planning Model of human movements. Numerical results and simulations for reach-to-grasp movements with two different grip types have been presented previously. In this paper we extend our mode...
An evolutionary algorithm based pattern search approach for constrained optimiz...
Datta, Rituparna; Costa, M. Fernanda P.; Gaspar-Cunha, A.; Deb, KalyanmoyConstrained optimization is one of the popular research areas since constraints are usually present in most real world optimization problems. The purpose of this work is to develop a gradient free constrained global optimization methodology to solve this type of problems. In the methodology proposed, the single objective constrained optimization problem is solved using a Multi-Objective Evolutionary Algorithm (...
An artificial fish swarm algorithm based hyperbolic augmented Lagrangian method
Costa, M. Fernanda P.; Rocha, Ana Maria A. C.; Fernandes, Edite Manuela da G. P.Documento submetido para revisão pelo pares a publicar em Journal of computational and applied mathematics. ISSN 0377-0427. Versão "In Press, Corrected Proof" disponível em http://www.sciencedirect.com/science/article/pii/S0377042713004226 ; This paper aims to present a hyperbolic augmented Lagrangian (HAL) framework with guaranteed convergence to an ϵ-global minimizer of a constrained nonlinear optimization p...
Multistart hooke and jeeves filter method for mixed variable optimization
Fernandes, Florbela P.; Costa, M. Fernanda P.; Fernandes, Edite M.G.P.; Rocha, Ana Maria A. C.In this study, we propose an extended version of the Hooke and Jeeves algorithm that uses a simple heuristic to handle integer and/or binary variables and a filter set methodology to handle constraints. This proposal is integrated into a multistart method as a local solver and it is repeatedly called in order to compute different optimal solutions. Then, the best of all stored optimal solutions is selected as t...
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