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Improving Tabu Search Performance by Means of Automatic Parameter Tuning

Lagos C.; Crawford B.; Soto R.; Cabrera E.; Vega J.; Johnson F.; Paredes F. (IEEE Canada, 2016)

A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning

Barsce, Juan Cruz; Palombarini, Jorge; Martínez, Ernesto (2020)

A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning

Barsce, Juan Cruz; Palombarini, Jorge; Martínez, Ernesto (2019)

A review of optimal control techniques applied to the energy management and control of microgrids

Luis Ismael Minchala Avila; Luis Eduardo Garza Castañón

Evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based environments

Universidade dos Andes (UANDES); Universidade do Oeste Paulista (UNOESTE)Universidade Estadual Paulista (Unesp) (Ieee, 2014-01-01)

Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of parameters. ...

Optimal Parameter Estimation of Solar PV Panel Based on Hybrid Particle Swarm and Grey Wolf Optimization Algorithms

Rezk, Hegazy; Arfaoui, Jouda; Gomaa, Mohamed R.

The performance of a solar photovoltaic (PV) panel is examined through determining its internal parameters based on single and double diode models. The environmental conditions such as temperature and the level of radiation ...

Parameter tuning of a choice-function based hyperheuristic using Particle Swarm Optimization

Crawford B.; Soto R.; Monfroy E.; Palma W.; Castro C.; Paredes F. (2013)

Expanded space mapping EM based design framework exploiting preassigned parameters

Bandler, John W.; Ismail, Mostafa A.; Rayas-Sánchez, José E. (IEEE Trans. Circuits Sys.;49, 2002-12)

The efficiency of setting parameters in a modified shuffled frog leaping algorithm applied to optimizing water distribution networks

Mora-Melia D.; Iglesias-Rey P.L.; Martínez-Solano F.J.; Muñoz-Velasco P. (MDPI AG, 2016)

Parameter tuning of metaheuristics using metaheuristics

Crawford B.; Valenzuela C.; Soto R.; Monfroy E.; Paredes F. (2013)

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Improving Tabu Search Performance by Means of Automatic Parameter Tuning

A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning

A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning

A review of optimal control techniques applied to the energy management and control of microgrids

Evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based environments

Optimal Parameter Estimation of Solar PV Panel Based on Hybrid Particle Swarm and Grey Wolf Optimization Algorithms

Parameter tuning of a choice-function based hyperheuristic using Particle Swarm Optimization

Expanded space mapping EM based design framework exploiting preassigned parameters

The efficiency of setting parameters in a modified shuffled frog leaping algorithm applied to optimizing water distribution networks

Parameter tuning of metaheuristics using metaheuristics