• SMS-EMOA

  • Referenced in 74 articles [sw11894]
  • focussing on interesting regions of the Pareto front. The performance of the devised SSmetric selection...
  • MOCK

  • Referenced in 40 articles [sw04156]
  • identify good solutions from the Pareto front, and to automatically determine the number of clusters ... analyse how MOCK’s Pareto fronts compare to the performance curves obtained by single-objective...
  • AbYSS

  • Referenced in 19 articles [sw09881]
  • convergence to the true Pareto fronts and the hypervolume metric...
  • MOTGA

  • Referenced in 18 articles [sw02666]
  • different part of the Pareto front. Pre-defined weight vectors act as pivots to define...
  • DEMORS

  • Referenced in 8 articles [sw02773]
  • hybrid approach to approximate the Pareto front of a constrained multi-objective optimization problem while ... generate an initial approximation of the Pareto front. Then, in the second stage, rough...
  • MOPED

  • Referenced in 11 articles [sw02388]
  • density of solutions lying on the Pareto front. The proposed algorithm has been applied...
  • NSPSO

  • Referenced in 17 articles [sw09598]
  • propel the swarm population towards the Pareto-optimal front. By using the non-dominated sorting...
  • PAINT

  • Referenced in 10 articles [sw10390]
  • PAINT: Pareto front interpolation for nonlinear multiobjective optimization. A method called PAINT is introduced ... method interpolates between a given set of Pareto optimal outcomes. The interpolation provided...
  • MOCell

  • Referenced in 10 articles [sw23794]
  • diversity of the solutions along the Pareto front...
  • vZ

  • Referenced in 9 articles [sw22666]
  • Objective functions are combined as either Pareto fronts, lexicographically, or each objective is optimized ndependently...
  • FEMOEA

  • Referenced in 3 articles [sw19640]
  • quickly obtain a fixed size Pareto-front approximation. It adapts ideas from different multi-objective ... convergence of the population towards the Pareto-front, has been incorporated. It is an extension ... algorithm if the distances between the Pareto-front approximations provided by the algorithm in three...
  • GPareto

  • Referenced in 3 articles [sw28711]
  • package GPareto: Gaussian Processes for Pareto Front Estimation and Optimization. Gaussian process regression models, a.k.a ... available. A quantification of uncertainty on Pareto fronts is provided using conditional simulations...
  • D2MOPSO

  • Referenced in 4 articles [sw09958]
  • resulting in a more diverse approximated Pareto front. Results from 10 standard MOPs show...
  • EMOPSO

  • Referenced in 4 articles [sw14001]
  • produce reasonably good approximations of the Pareto front of problems with up to 30 decision...
  • Hypervolume Indicator

  • Referenced in 1 article [sw25336]
  • space as an estimation of the Pareto front. A quantitive measure is desired to estimate ... estimated data points to the true Pareto front. One of such measures is the hypervolume ... gives the hypervolume between the estimated Pareto front (P) and a reference point (R). However ... space to be dominated by the Pareto front. The code was developed in response...
  • MultiJuMP

  • Referenced in 1 article [sw20366]
  • multiobjective optimisation problems and generate Pareto fronts. MultiJuMP enables the user to easily run multiobjective ... optimisation problems and generate Pareto fronts. The code is built as an extension ... three ways to trace out the Pareto front: Normal Boundary Intersection (solve(m, method...
  • Pareto Front Viewer

  • Referenced in 1 article [sw16212]
  • Pareto Front Viewer (PFV) is software for interactive Pareto frontier visualization for nonlinear models...
  • DCMOGADES

  • Referenced in 2 articles [sw02761]
  • should be close to the real Pareto front, solutions should not be concentrated but widespread ... this study, to derive the good Pareto optimum solutions, two algorithms are combined and illustrated...
  • OMOEA-II

  • Referenced in 3 articles [sw02993]
  • dimensions and large number of local Pareto-optimal fronts better than some existing algorithms recently...
  • Nonconvex Pareto Navigator

  • Referenced in 2 articles [sw31871]
  • nonconvex problems. An approximation of the Pareto optimal front in the objective space is first ... method using a relatively small set of Pareto optimal outcomes that is assumed...