• Saga

  • Referenced in 95 articles [sw39677]
  • SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives ... this work we introduce a new optimisation method called SAGA in the spirit...
  • FLIRT

  • Referenced in 21 articles [sw02671]
  • multi-start, multi-resolution global optimisation method. It can be used for inter- and intra...
  • COFFEE

  • Referenced in 22 articles [sw20274]
  • maximise the impact of low level optimisation. For example, COFFEE can analyse the arrays, loops ... differential equations using the finite element method. An optimisation pipeline in COFFEE was designed...
  • Dizzy

  • Referenced in 18 articles [sw35541]
  • stochastic simulation algorithms such as the optimised direct method, the sorting direct method...
  • MSOPS-II

  • Referenced in 13 articles [sw11982]
  • general-purpose many-objective optimiser. Existing evolutionary methods capable of true many-objective optimisation have ... intervention; and secondly redefines the fitness assignment method to simplify analysis and allow more comprehensive ... part of a general-purpose multi/many objective optimisation algorithm, requiring minimal initial configuration...
  • YANE

  • Referenced in 7 articles [sw18510]
  • user can choose between different optimisation methods, both integrated and wrapped external solvers, and different...
  • HC12

  • Referenced in 6 articles [sw03288]
  • solved using a wide range of optimisation methods. Soft-computing optimisation procedures are often applied...
  • GrabCut

  • Referenced in 110 articles [sw15842]
  • more powerful, iterative version of the optimisation. Secondly, the power of the iterative algorithm ... that for moderately difficult examples the proposed method outperforms competitive tools...
  • ROTOR

  • Referenced in 6 articles [sw11955]
  • planning failures by offering a quantitative method of optimisation of weed and site-specific...
  • SMS-EMOA

  • Referenced in 88 articles [sw11894]
  • maximisation of the dominated hypervolume within the optimisation process. A steady-state EMOA is proposed ... compared to state-of-the-art methods on two- and three-objective benchmark suites...
  • AK-MCS

  • Referenced in 60 articles [sw18303]
  • active learning reliability method combining Kriging and Monte Carlo Simulation. An important challenge in structural ... have emerged in reliability analysis. Widespread in optimisation, Kriging has just started to appear ... which can be used in active learning methods. The aim of this paper...
  • BIANCA

  • Referenced in 13 articles [sw02081]
  • treat constrained optimisation problems through the generalisation of penalisation methods. BIANCA can also treat constrained ... treatment of more general problems of optimisation of materials and structures. In this paper...
  • Regtheory.jl

  • Referenced in 1 article [sw39171]
  • extension of first-order optimisation methods to Banach spaces. Bregman divergences can, however, be somewhat ... prove the fast local convergence of optimisation methods, we show norm convergence in Banach spaces ... proving such regularisation results is based on optimisation formulations of inverse problems. As a side ... provide regularisation complexity results for optimisation methods: how many steps Nδ of the algorithm...
  • MDSM

  • Referenced in 2 articles [sw02566]
  • microarray database schema matching using the Hungarian method. Current microarray databases use different terminologies ... bipartite graph using the Hungarian optimisation method. Experimental results show that our schema matching approach...
  • COSMO

  • Referenced in 5 articles [sw40080]
  • Operator Splitting Method (COSMO) solver, an operator splitting algorithm for convex optimisation problems with quadratic ... method particularly efficient for large problems, e.g. semidefinite programs that arise in portfolio optimisation, graph...
  • LibBi

  • Referenced in 14 articles [sw19384]
  • then optimises, generates, compiles and runs code for the given model, inference method and hardware...
  • PGSolver

  • Referenced in 29 articles [sw14051]
  • present a generic solver that intertwines optimisations with any of the existing parity game algorithms ... that cannot be solved faster by simpler methods. This approach is evaluated empirically...
  • Sketchplore

  • Referenced in 1 article [sw36259]
  • optimisation to a sketching tool. Although optimisation methods can attack very complex design problems, their ... sketching practices. Our work investigates an interactive optimisation concept that works in harmony with sketching...
  • RMOP

  • Referenced in 1 article [sw08546]
  • shock control bump design, two different optimisation methods are considered; the first method ... RMOP (denoted as RMOGA). The second method uses a Hybridised RMOGA with Game-Strategies ... applying Hybrid-Game increases the efficiency of optimisation in terms of computational cost and results...
  • CEINMS

  • Referenced in 1 article [sw23373]
  • restricted to static and dynamic optimisation methods, or limited to isometric tasks only. We have ... driven, EMG-assisted, and static optimisation neural control solutions affect the estimated joint moments, muscle...