Multiobjective Optimization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 38 papers with code (155 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
  29 Mar 2016 12 repositories listed
  We introduce COCO, an open source platform for Comparing Continuous Optimizers in a black-box setting.
• Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
  26 Mar 2025 2 repositories listed
  To bridge the gap, we propose to parallelize EMO algorithms on GPUs via the tensorization methodology.
• Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach
  7 Apr 2024 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  The experimental results show that the optimal set of hyperparameters enhanced model performance in single timestepping forecasting and greatly exceeded the baseline configuration in the autoregressive rollout for…
• GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
  1 Apr 2024 2 repositories listed
  Evolutionary multiobjective optimization has witnessed remarkable progress during the past decades.
• Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
  8 Aug 2022 2 repositories listed
  From an optimization point of view, the NAS tasks involving multiple design criteria are intrinsically multiobjective optimization problems; hence, it is reasonable to adopt evolutionary multiobjective optimization…
• ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces
  19 Jan 2021 2 repositories listed
  In this paper, we approach the problem of optimizing blackbox functions over large hybrid search spaces consisting of both combinatorial and continuous parameters.
• Multiobjective Optimization Training of PLDA for Speaker Verification
  25 Aug 2018 2 repositories listed
  Most current state-of-the-art text-independent speaker verification systems take probabilistic linear discriminant analysis (PLDA) as their backend classifiers.
• Principal Orthogonal Latent Components Analysis (POLCA Net)
  9 Oct 2024 1 repository listed
  Representation learning is a pivotal area in the field of machine learning, focusing on the development of methods to automatically discover the representations or features needed for a given task from raw data.
• LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
  4 Sep 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Multiobjective optimization problems (MOPs) are prevalent in machine learning, with applications in multi-task learning, learning under fairness or robustness constraints, etc.
• SustainDC: Benchmarking for Sustainable Data Center Control
  14 Aug 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  In this paper, we introduce SustainDC, a set of Python environments for benchmarking multi-agent reinforcement learning (MARL) algorithms for data centers (DC).
• A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learning
  24 Apr 2024 1 repository listed
  This paper presents an innovative strategy that utilizes reinforcement learning to enhance the fast balance charging of lithium-ion battery packs.
• Development of a machine learning-based design optimization method for crashworthiness analysis
  6 Mar 2024 1 repository listed
  This article investigates design optimisation in the automotive field using machine learning (ML).
• Explainable Bayesian Optimization
  24 Jan 2024 1 repository listed
  Manual parameter tuning of cyber-physical systems is a common practice, but it is labor-intensive.
• Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
  22 Dec 2023 1 repository listed
  In this paper, we introduce a novel concept of \textit{inverse transfer} in multiobjective optimization.
• qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
  24 Oct 2023 1 repository listed
  Instead of a hard acquisition function optimization, qPOTS solves a cheap multiobjective optimization on the GP posteriors with evolutionary approaches.
• Large Language Model for Multi-objective Evolutionary Optimization
  19 Oct 2023 1 repository listed
  It is also promising to see the operator only learned from a few instances can have robust generalization performance on unseen problems with quite different patterns and settings.
• A multiobjective continuation method to compute the regularization path of deep neural networks
  23 Aug 2023 1 repository listed
  To overcome this limitation, we present an algorithm that allows for the approximation of the entire Pareto front for the above-mentioned objectives in a very efficient manner for high-dimensional DNNs with millions of…
• Optimizing fairness tradeoffs in machine learning with multiobjective meta-models
  21 Apr 2023 1 repository listed
  We present a flexible framework for defining the fair machine learning task as a weighted classification problem with multiple cost functions.
• A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps
  15 Apr 2023 1 repository listed
  In order to deploy machine learning in a real-world self-driving laboratory where data acquisition is costly and there are multiple competing design criteria, systems need to be able to intelligently sample while…
• The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity
  8 Nov 2022 1 repository listed
  Also, for the general m-dimensional case, a compact recursive analytical expression is established, and its algorithmic implementation is discussed.
• Evolutionary Multiparty Distance Minimization
  27 Jul 2022 1 repository listed
  In the field of evolutionary multiobjective optimization, the decision maker (DM) concerns conflicting objectives.
• Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment method
  19 Jul 2022 1 repository listed
  In addition, this work fully considers the heterogeneity of SNs (i.
• DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
  29 Oct 2021 1 repository listed
  The field of machine learning for drug discovery is witnessing an explosion of novel methods.
• Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization
  15 Oct 2021 1 repository listed
  Evolutionary transfer multiobjective optimization (ETMO) has been becoming a hot research topic in the field of evolutionary computation, which is based on the fact that knowledge learning and transfer across the…
• Using Traceless Genetic Programming for Solving Multiobjective Optimization Problems
  7 Oct 2021 1 repository listed
  Traceless Genetic Programming (TGP) is a Genetic Programming (GP) variant that is used in cases where the focus is rather the output of the program than the program itself.
• QoS-aware Big Service Composition using Distributed Co-Evolutionary Algorithm
  14 Sep 2021 1 repository listed
  Big services are collections of interrelated web services across virtual and physical domains, processing Big Data.
• Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems
  6 May 2021 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  When these problems are extended to multiobjective ones, it becomes difficult for the existing DRL approaches to flexibly and efficiently deal with multiple subproblems determined by weight decomposition of objectives.
• End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort
  1 Feb 2021 1 repository listed
  Parameters are estimated by comparing the predictions of the metamodel with real data obtained from sensors using the CMA-ES algorithm, a derivative free optimization procedure.
• Learning the Pareto Front with Hypernetworks
  8 Oct 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Here, we tackle the problem of learning the entire Pareto front, with the capability of selecting a desired operating point on the front after training.
• Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach
  31 Aug 2020 1 repository listed
  We suggest a multiobjective perspective on the training of neural networks by treating its prediction accuracy and the network complexity as two individual objective functions in a biobjective optimization problem.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.