Results 61 to 70 of about 66,012 (265)
MathematicsDecision-making plays a pivotal role in data-driven optimization, aiming to achieve optimal results by identifying the most effective combination of input variables.
Parastoo Dehnad +2 more
doaj +1 more source
Multi-Objective Design Optimization of the Leg Mechanism for a Piping Inspection Robot [PDF]
, 2014 This paper addresses the dimensional synthesis of an adaptive mechanism of contact points ie a leg mechanism of a piping inspection robot operating in an irradiated area as a nuclear power plant.
Boyer, Frédéric +4 more
core +3 more sources
Simple Problems: The Simplicial Gluing Structure of Pareto Sets and Pareto Fronts
, 2017 Quite a few studies on real-world applications of multi-objective optimization reported that their Pareto sets and Pareto fronts form a topological simplex.
Deb K., Hamada N.
core +1 more source
Yield Model Characterization For Analog Integrated Circuit Using Pareto-Optimal Surface [PDF]
, 2008 A novel technique is proposed in this paper that achieves a yield optimized design from a set of optimal performance points on the Pareto front. Trade-offs among performance functions are explored through multi-objective optimization and Monte Carlo ...
Ali, Sawal +3 more
core +1 more source
Advanced Science, EarlyView.A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie +7 more
wiley +1 more source
Clustering of the approximated Pareto front
Научно-технический вестник информационных технологий, механики и оптикиIn contemporary engineering and scientific practice, multi-objective optimization often facilitates the search for compromise solutions without prescribing weight coefficients or bounds, forming a Pareto front via heuristic approximation based on genetic
A. G. Yurtaev
doaj +1 more source
Ain Shams Engineering Journal, 2019 In this paper, the application of three well-known multi-objective optimization algorithms to water distribution network (WDN) optimum design has been considered.
H. Monsef +3 more
doaj +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Methods for many-objective optimization: an analysis [PDF]
, 2012 Decomposition-based methods are often cited as the solution to problems related with many-objective optimization. Decomposition-based methods employ a scalarizing function to reduce a many-objective problem into a set of single objective problems, which
Fleming, P.J., Giagkiozis, I.
core
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
Advanced Science, EarlyView.A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source