Results 41 to 50 of about 20,451 (264)
Peritoneal carcinomatosis is a hard‐to‐treat spread of abdominal cancers that often returns after therapy. Nanoparticles were developed to retain an immune‐boosting drug in the abdomen. When combined with chemotherapy in mice, this approach eliminated tumors in many cases and prevented recurrence, helping the immune system mount a stronger, longer ...
Vanessa Chan +10 more
wiley +1 more source
Reference Set Generator: A Method for Pareto Front Approximation and Reference Set Generation
In this paper, we address the problem of obtaining bias-free and complete finite size approximations of the solution sets (Pareto fronts) of multi-objective optimization problems (MOPs). Such approximations are, in particular, required for the fair usage
Angel E. Rodriguez-Fernandez +2 more
doaj +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Handling Multimodality in Pareto Set Estimation via Cluster-Wise Decomposition
Multimodal multi-objective optimization problems often exhibit one-to-many mappings, where multiple distinct variable vectors correspond to the same objective vector. This characteristic makes Pareto set (PS) estimation difficult, as conventional inverse
Yuki Suzumura +2 more
doaj +1 more source
This paper analyzes more than 40 papers with a restricted area of application of Multi-Objective Genetic Algorithm, Non-Dominated Sorting Genetic Algorithm-II and Multi-Objective Differential Evolution (MODE) to solve the multi-objective problem in ...
Fanuel Ibrahim Mwita +2 more
doaj +1 more source
High-Fidelity Surrogate Based Multi-Objective Optimization Algorithm
The employment of conventional optimization procedures that must be repeatedly invoked during the optimization process in real-world engineering applications is hindered despite significant gains in computing power by computationally expensive models. As
Adel Younis, Zuomin Dong
doaj +1 more source
Pareto Set Identification With Posterior Sampling
The problem of identifying the best answer among a collection of items having real-valued distribution is well-understood. Despite its practical relevance for many applications, fewer works have studied its extension when multiple and potentially conflicting metrics are available to assess an item's quality.
Kone, Cyrille +2 more
openaire +5 more sources
Pareto dominance-based MOEAs on problems with difficult pareto set topologies
Despite the extensive application of multi-objective evolutionary algorithms (MOEAs) to solve multi-objective optimization problems (MOPs), understanding their working principles is still open to research. One of the most popular and successful MOEA approaches is based on Pareto dominance and its relaxed version, Pareto epsilon-dominance. However, such
Marca, Yuri +6 more
openaire +2 more sources
Field‐Programmable Mobile Magneto‐Photonic Metaparticles for Active Light Manipulation and Steering
We report magneto‐photonic metaparticles that integrate magnetic actuation with nanoimprinted metagratings, enabling mobile and programmable beam steering in aqueous environments. This platform achieves real time, directional light control beyond static or line‐of‐sight systems, while remaining compatible with scalable fabrication, providing a ...
Seung Yeol Lee, Yujie Luo, Ognjen Ilic
wiley +1 more source
A Novel Model for Optimizing Selection of Cloud Instance Types
With the development of cloud computing, the cloud market is becoming more and more complicated. In a cloud data center, there are many cloud instance types with different computing capacity and price, which brings users some confusions when they select ...
Wenqiang Liu +5 more
doaj +1 more source

