Results 61 to 70 of about 5,147,506 (303)
Pareto set and EMOA behavior for simple multimodal multiobjective functions [PDF]
, 2006 Recent research on evolutionary multiobjective optimization has mainly focused on Pareto-fronts. However, we state that proper behavior of the utilized algorithms in decision/search space is necessary for obtaining good results if multimodal objective ...
Preuss, Mike +5 more
core +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Advanced Robotics Research, EarlyView.Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley +1 more source
COMPROMISE, OPTIMAL AND TRACTIONAL ACCOUNTS ON PARETO SET
Nauka ta progres transportu, 2010 The problem of optimum traction calculations is considered as a problem about optimum distribution of a resource. The dynamic programming solution is based on a step-by-step calculation of set of points of Pareto-optimum values of a criterion function ...
V. V. Lahuta
doaj
Research of the two-criteria estimation method for linear regression models
Цифровые модели и решенияThe paper is devoted to the research of the two-criteria estimation method for linear regressions. The first criterion corresponds to the least absolute deviations, the second – to the non-strict ordinary least squares.
M.P. Bazilevskiy
doaj +1 more source
High-Fidelity Surrogate Based Multi-Objective Optimization Algorithm
Algorithms, 2022 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
Advanced Robotics Research, EarlyView.A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley +1 more source
Journal of Inequalities and Applications, 2017 Prederivatives play an important role in the research of set optimization problems. First, we establish several existence theorems of prederivatives for γ-paraconvex set-valued mappings in Banach spaces with γ > 0 $\gamma>0$ .
Hui Huang, Jixian Ning
doaj +1 more source
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017 10 pages, accepted at GECCO'17 as a poster paper (2 pages)
openaire +2 more sources
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