• # SURROGATES

• Referenced in 14 articles [sw07575]
• MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following ... full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response...
• # Scilab

• Referenced in 166 articles [sw00834]
• operations and data analysis. 2-D & 3-D Visualization: Graphics functions to visualize, annotate ... customize various types of plots and charts. Optimization: Algorithms to solve constrained and unconstrained continuous...

• Referenced in 16 articles [sw28440]
• D-ADMM: a communication-efficient distributed algorithm for separable optimization. We propose a distributed algorithm ... Direction Method of Multipliers (D-ADMM), for solving separable optimization problems in networks of interconnected ... nodes or agents. In a separable optimization problem there is a private cost function ... intersection of all the constraint sets. D-ADMM is proven to converge when the network...
• # RM-MEDA

• Referenced in 28 articles [sw08554]
• continuous multiobjective optimization problem is a piecewise continuous (m - 1)-D manifold, where ... distribution algorithm (RM-MEDA) for continuous multiobjective optimization problems with variable linkages. At each generation ... distribution whose centroid is a (m - 1)-D piecewise continuous manifold. The local principal component...
• # designv2

• Referenced in 3 articles [sw27807]
• involving log(potency) in comparative binary bioassays. Optimal designs are investigated for bioassays involving ... main interest. Local and Bayesian D-optimal designs are considered, as well ... D$_s$-optimal designs where the mean response of one substance (standard) is regarded...
• # AMIGO

• Referenced in 10 articles [sw02425]
• algorithm for solving smooth global optimization problems over n-dimensional boxes. It is mainly ... Martínez, I. García and Ya. D. Sergeyev [J. Glob. Optim...
• # LDOD

• Referenced in 1 article [sw20245]
• package LDOD: Finding Locally D-optimal Designs for some Nonlinear and Generalized Linear Models. this ... package provides functions for Finding Locally D-optimal designs for Logistic, Negative Binomial, Poisson, Michaelis...
• # D2MOPSO

• Referenced in 4 articles [sw09958]
• Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. D 2 MOPSO ... multi-objective particle swarm optimizer that incorporates the dominance concept with the decomposition approach. Whilst ... front. Results from 10 standard MOPs show D 2 MOPSO outperforms two state...
• # Pegasos

• Referenced in 93 articles [sw08752]
• gradient descent algorithm for solving the optimization problem cast by Support Vector Machines ... time of our method is O (d/(λϵ)) , where d is a bound...
• # MCELL

• Referenced in 23 articles [sw06121]
• cellular signaling in the complex 3-D subcellular microenvironment in and around living cells -- what ... stochastic behavior dominates. MCell uses highly optimized Monte Carlo algorithms to track the stochastic behavior ... enzymes, transporters) heterogeneously distributed within the 3-D geometry of the subcellular environment...