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multi-objective optimization
Also known as: multiobjective optimization, multiple objectives optimization, multi-objective
Facts (13)
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Track: Poster Session 3 - aistats 2026 virtual.aistats.org 5 facts
claimClassical evolutionary approaches for multiobjective optimization are accurate but require a high number of queries to objectives, which is prohibitive when objectives are expensive oracles.
claimYasunari Hikima, Ken Kobayashi, Akinori Tanaka, Akiyoshi Sannai, and Naoki Hamada propose using a Bézier simplex as a model to represent the Pareto set in multi-objective optimization, as the Pareto set of an M-objective optimization problem typically forms an (M-1)-dimensional simplex.
claimThe constrained multi-objective Bayesian optimization algorithm COMBOO balances active learning of the level-set defined on multiple unknowns with multi-objective optimization within the feasible region.
claimMulti-objective optimization algorithms typically aim to find finite solutions as an approximation of the Pareto set, which may fail to capture the entire structure of the Pareto set when the number of variables is large.
procedureThe $q\texttt{POTS}$ method solves multiobjective optimization on Gaussian process (GP) posteriors using evolutionary approaches, and selects new candidates on the posterior GP Pareto frontier using a maximin distance criterion.
A comprehensive overview on demand side energy management ... link.springer.com Mar 13, 2023 3 facts
procedureWhen choosing an algorithm to solve demand side management optimization issues, factors such as problem type (single- or multi-objective), optimization type (local or global), robustness, and accuracy must be considered.
referenceFaisal HM, Javaid N, Qasim U, Habib S, Iqbal Z, and Mubarak H (2019) presented a method for efficient scheduling of user appliances using multi-objective optimization in the smart grid.
referenceFaisal et al. (2019) proposed a multi-objective optimization method for scheduling user appliances within a smart grid environment.
Construction of intelligent decision support systems through ... - Nature nature.com Oct 10, 2025 1 fact
claimThe supply chain application area of the Integrated Knowledge-Enhanced Decision Support framework required integrated spatiotemporal modeling, multiple objectives optimization, and Pareto frontier visualization.
Zero-knowledge LLM hallucination detection and mitigation through ... amazon.science 1 fact
claimThe Sponsored Products and Brands (SPB) team at Amazon Ads develops solutions involving generative AI, deep learning, multi-objective optimization, and reinforcement learning to improve ad retrieval, auctions, and whole-page relevance.
Measurement of diets that are healthy, environmentally sustainable ... frontiersin.org 1 fact
referenceAbejón, Batlle-Bayer, Laso, Bala, Vazquez-Rowe, Larrea-Gallegos, and colleagues applied multi-objective optimization of nutritional, environmental, and economic aspects of diets to the Spanish context, published in Foods in 2020.
A critical review on techno-economic analysis of hybrid renewable ... link.springer.com Dec 6, 2023 1 fact
claimThe HOMER software accepts load requirements, resource information, and emission statistics as inputs to determine system configuration, and outputs power expenses, fuel usage, capital expenditures, and financial assessments, though it is ineffective for multi-objective optimization.
Advancing energy efficiency: innovative technologies and strategic ... oaepublish.com 1 fact
referenceAlimohamadi, R. and Jahangir, M. H. authored 'Multi-objective optimization of energy consumption pattern in order to provide thermal comfort and reduce costs in a residential building', published in Energy Conversion and Management in 2024 (Volume 305, Article 118214).