
SMSEMOA
 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 singleobjective...

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. Predefined weight vectors act as pivots to define...

DEMORS
 Referenced in 8 articles
[sw02773]
 hybrid approach to approximate the Pareto front of a constrained multiobjective 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 Paretooptimal front. By using the nondominated 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 Paretofront approximation. It adapts ideas from different multiobjective ... convergence of the population towards the Paretofront, has been incorporated. It is an extension ... algorithm if the distances between the Paretofront 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...

OMOEAII
 Referenced in 3 articles
[sw02993]
 dimensions and large number of local Paretooptimal 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...