In these life-saving situations, reliable and prompt communication among swarm robots is of utmost importance. To address the need for highly dependable and low-latency communication in swarm robotics, this research introduces a novel hybrid approach called Multi-objective QoS optimization based on ...
A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization) - microsoft/sammo
In this paper we view service recommendation as a multi-objective optimization problem, and give two modified ranking prediction and recommendation algorithms that simultaneously consider accuracy and diversity. Existing algorithm recommendations can be made much more diverse by adjusting weights on service ...
multi-objective optimization problems (MOPs) align more closely with these multifaceted challenges than single-objective optimization does14. A common approach to solving MOPs is to treat each objective as an individual OP, addressing them one after the other based on...
Prompt-MolOpt is a tool for molecular optimization; it makes use of prompt-based embeddings, as used in large language models, to improve the transformer’s ability to optimize molecules for specific property adjustments. Notably, Prompt-MolOpt excels in working with limited multiproperty data (...
Multi-objectiveoptimizationforthedesignandsynthesisofutility systemswithemissionabatementtechnologyconcerns XianglongLuo a ,JiahaoHu a ,JunZhao b ,BingjianZhang c ,YingChen a,⇑ ,SongpingMo a a SchoolofMaterialandEnergy,GuangdongUniversityofTechnology,No.100WaihuanXiRoad,GuangzhouHigherEducationMegaCenter,...
When the disaster occurs, the government should the prompt rescue, after complete the disaster the reconstruction. [translate] a在桌子上有一些书 Has some books on the table [translate] aMULTIOBJECTIVE OPTIMIZATION OF MULTIOBJECTIVE优化 [translate] ...
6.1.1 Selection process overview Step 1 Prompt the designer for the percent deviation, di, where i = number of objective function, of each objective function's attributes and compute the corresponding range bounds. Equation (12) provides the lower and upper bound for all the Fi objective ...
Multi-objective exponential distribution optimizer (MOEDO): a novel math-inspired multi-objective algorithm for global optimization and real-world engineering design problemsArticle Open access Published: 20 January 2024 Volume 14, article number 1816, (2024) Cite this article ...
Decomposition-based multiobjective evolutionary algorithms is one of the prevailing algorithmic frameworks for multiobjective optimization. This framework distributes the same amount of evolutionary computing resources to each subproblems, but it ignores the variable contributions of different subproblems to popu...