Results 51 to 60 of about 190,364 (297)
Reference Set Generator: A Method for Pareto Front Approximation and Reference Set Generation
MathematicsIn 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
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
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Collision‐Resilient Winged Drones Enabled by Tensegrity Structures
Advanced Robotics Research, EarlyView.Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui +5 more
wiley +1 more source
Handling Multimodality in Pareto Set Estimation via Cluster-Wise Decomposition
Applied SciencesMultimodal 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
Effective and efficient algorithm for multiobjective optimization of hydrologic models [PDF]
, 2003 Practical experience with the calibration of hydrologic models suggests that any single-objective function, no matter how carefully chosen, is often inadequate to properly measure all of the characteristics of the observed data deemed to be important ...
Bastidas, LA +4 more
core +3 more sources
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
International Journal for Simulation and Multidisciplinary Design Optimization, 2018 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
A Novel Model for Optimizing Selection of Cloud Instance Types
IEEE Access, 2019 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
IEEE Open Journal of Vehicular Technology, 2021 Integrated ground-air-space (IGAS) networks intrinsically amalgamate terrestrial and non-terrestrial communication techniques in support of universal connectivity across the globe.
Jingjing Cui +5 more
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Increasing the density of available pareto optimal solutions [PDF]
, 2012 The set of available multi-objective optimization algorithms continues to grow. This fact can be partially attributed to their widespread use and applicability.
Fleming, P.J., Giagkiozis, I.
core