• XGBoost

  • Referenced in 125 articles [sw21035]
  • XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible...
  • MinRes

  • Referenced in 38 articles [sw09350]
  • minres solver for distributed multiharmonic eddy current optimal control problems in unbounded ... domains. This work is devoted to distributed optimal control problems for multiharmonic eddy current problems...
  • ROME

  • Referenced in 111 articles [sw04733]
  • numerical analysis of robust optimization problems. ROME is freely distributed for academic...
  • CORO

  • Referenced in 24 articles [sw02197]
  • framework for oil supply, transformation and distribution optimization under uncertainty. The authors present a modeling ... framework for the optimization of a multiperiod Supply, Transformation and Distribution (STD) scheduling problem under...
  • D-ADMM

  • Referenced in 25 articles [sw28440]
  • ADMM: a communication-efficient distributed algorithm for separable optimization. We propose a distributed algorithm, named ... Distributed Alternating Direction Method of Multipliers (D-ADMM), for solving separable optimization problems in networks...
  • Hyperopt

  • Referenced in 49 articles [sw19219]
  • hyperopt: Distributed Asynchronous Hyper-parameter Optimization. Hyperopt is a Python library for serial and parallel...
  • CMA-ES

  • Referenced in 121 articles [sw05063]
  • linear or non-convex continuous optimization problems. They belong to the class of evolutionary algorithms ... sampled according to a multivariate normal distribution in the mathbb{R}^n. Pairwise dependencies between ... update the covariance matrix of this distribution. This is particularly useful, if the function ... Quasi-Newton method in classical optimization. In contrast to most classical methods, fewer assumptions...
  • TOMLAB

  • Referenced in 99 articles [sw04214]
  • optimization software packages in the areas that TOMLAB covers. The external solvers are distributed...
  • RM-MEDA

  • Referenced in 38 articles [sw08554]
  • Regularity Model-Based Multiobjective Estimation of Distribution Algorithm. Under mild conditions, it can be induced ... decision space, of a continuous multiobjective optimization problem is a piecewise continuous ... multiobjective estimation of distribution algorithm (RM-MEDA) for continuous multiobjective optimization problems with variable linkages ... decision space by a probability distribution whose centroid is a (m - 1)-D piecewise continuous...
  • DiSCO

  • Referenced in 12 articles [sw28439]
  • DiSCO: Distributed Optimization for Self-Concordant Empirical Loss. We propose a new distributed algorithm...
  • SMAC

  • Referenced in 80 articles [sw27215]
  • algorithm configuration) is a versatile tool for optimizing algorithm parameters (or the parameters of some ... distributions. Recently, we have also found it to be very effective for the hyperparameter optimization...
  • SATzilla

  • Referenced in 99 articles [sw06281]
  • distribution of problem instances and a set of component solvers, and constructs a portfolio optimizing...
  • NBI

  • Referenced in 208 articles [sw05075]
  • optimal points for a general nonlinear multicriteria optimization problem. Such points collectively capture the trade ... successful in producing an evenly distributed set of points in the Pareto set given...
  • OSiL

  • Referenced in 10 articles [sw07617]
  • OSiL: An instance language for optimization. Distributed computing technologies such as Web Services are growing ... computing environment. In the area of mathematical optimization, it is common ... separate modeling languages from optimization solvers. In a completely distributed environment, the modeling language software ... machines using different operating systems. Such a distributed environment makes it critical to have...
  • DSCOVR

  • Referenced in 6 articles [sw28397]
  • dual block coordinate algorithms for asynchronous distributed optimization. Machine learning with big data often involves ... large optimization models. For distributed optimization over a cluster of machines, frequent communication and synchronization ... this paper, we focus on distributed optimization of large linear models with convex loss functions ... stochastic coordinate optimization with variance reduction (DSCOVR). Compared with other first-order distributed algorithms...
  • Adams

  • Referenced in 50 articles [sw06593]
  • forces are distributed throughout mechanical systems, and to improve and optimize the performance of their...
  • NEOS

  • Referenced in 94 articles [sw13740]
  • solvers in more than a dozen optimization categories. The NEOS Server offers a variety ... University of Wisconsin in Madison run on distributed high-performance machines enabled by the HTCondor ... site complements the NEOS Server, showcasing optimization case studies, presenting optimization information and resources...
  • PySP

  • Referenced in 21 articles [sw04921]
  • open-source Python repository for optimization; the latter is distributed as part...
  • TTTPLOTS

  • Referenced in 58 articles [sw07712]
  • distribution. This is often the case in local search based heuristics for combinatorial optimization, such...
  • ump

  • Referenced in 27 articles [sw12360]
  • values. The optimal hypothesis tests for the binomial distribution and some other discrete distributions ... dual to and inherits the exactness and optimality of UMP and UMPU tests. We also...