Alternatives and similar repositories for DDMOP

Users that are interested in DDMOP are comparing it to the libraries listed below

• HandingWang / DDEA-SE
  Offline data-driven evolutionary optimization using selective surrogate ensembles
  ☆25Updated 7 years ago
• HandingWang / RF-CMOCO
  Handing Wang, Yaochu Jin, A Random Forest-Assisted Evolutionary Algorithm %for Data-Driven Constrained Multiobjective Combinatorial Optim…
  ☆18Updated 6 years ago
• HandingWang / CALSAPSO
  Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems
  ☆19Updated 7 years ago
• tomtkg / Test_Functions_for_Multi-objective_Optimization
  Test Functions for Multi-Objective Optimization
  ☆38Updated 3 years ago
• ankurzing / bleaq2
  Bilevel Optimization Algorithm
  ☆43Updated 3 years ago
• mikeagn / CEC2013
  2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization
  ☆91Updated 4 years ago
• xiaofangxd / Multitasking-Optimization
  Summary of Multitasking Optimization
  ☆82Updated last year
• CIA-SZU / WTC
  ☆13Updated 5 years ago
• P-N-Suganthan / 2021-RW-MOP
  ☆27Updated 3 years ago
• yiping0liu / TriMOEA-TAnR
  A multi-modal multi-objective evolutionary algorithm using two-archive and recombination strategies (IEEE Transactions on Evolutionary Co…
  ☆19Updated 4 years ago
• singfie / Data-Driven-Optimization
  A repository holding methods from data-driven-optimization used in data science and operations research including sample average approxim…
  ☆22Updated 5 years ago
• tichugh / K-RVEA
  ☆13Updated 6 years ago
• zhandawei / Incremental_Kriging_Assisted_Evolutionary_Algorithm
  A fast Kriging-assisted evolutionary algorithm based on incremental learning
  ☆32Updated 7 months ago
• h-hg / DDEA
  ☆44Updated 2 years ago
• P-N-Suganthan / CODES
  Codes for some of my co-authored journal/conference papers
  ☆123Updated 3 weeks ago
• HandingWang / Two_Arch2
  An Improved Two-Archive Algorithm for Many-Objective Optimization
  ☆12Updated 7 years ago
• Xi-L / PSL-MOBO
  ☆36Updated last year
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 years ago
• Valdecy / pyMultiobjective
  A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; …
  ☆196Updated last month
• Naeemeh146 / cec-benchmark-2013-python
  for testing metaheuristic algorithm which is specific for continuous search spaces like Particle Swarm optimizations, Differential evolut…
  ☆17Updated 10 months ago
• Evolutionary-Intelligence / DistributedEvolutionaryComputation
  A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and …
  ☆139Updated this week
• slow295185031 / MOEA-dev
  ☆54Updated 10 years ago
• raviagrwl420 / variable-selection
  Variable Selection for Branching in Mixed Integer Linear Programming (MILP)
  ☆6Updated 6 years ago
• yiping0liu / DEA-GNG
  Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts (IEEE Transactions on Evolut…
  ☆10Updated 4 years ago
• Danial-Yazdani / EDOLAB-MATLAB
  ☆52Updated last month
• asxadf / Closed_Loop_NCUC_Dataset
  This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Pr…
  ☆30Updated 3 months ago
• JaywayXu / Research-Code
  演化计算/多任务优化/迁移优化
  ☆15Updated 3 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆37Updated 3 years ago
• rlopt / l2i
  ☆108Updated 5 years ago
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆164Updated 4 years ago