The used test functions in the evaluation. by Xuan Chen (158617)

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Load curves of residential and IT sector loads with CS algorithm based DSM. by Manoj Kumar V. (18196645)

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Flowchart of the proposed algorithm. by Heewon Chung (2881286)

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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

Performances of ImpAO, AO, SMA, MFO and ABC algorithms for minimization of different error-based cost functions. by Davut Izci (15927452)

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Multi-objective fuzzy optimization results based on PSCACO algorithm. by Tianrui Zhang (2294542)

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Flow chart of multi objective optimization algorithm based on NSGA-II. by Wangang Cai (14599879)

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CEC2014 functions. by Adel Saad Assiri (9962517)

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Description of composite experimental classical benchmark functions. by Ying Li (38224)

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Convergence curve of reactive power transmission line loss minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

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The effect of each parameter on the target functions. by Shangyang Jin (21772466)

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Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”

Algorithm for constructing Boot-t CIs. by Qin Gong (118801)

Subjects: “…lindley approximation algorithm…”

Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”

Simulation parameters for the QL, ABSQL and DSRABSQL algorithms. by Jin Zhang (53297)

The SSA based SVM objective function minimization against iterations. by Ali Ahmed (2567584)