Results 51 to 60 of about 153,582,606 (300)
Computing the Pareto-Nash equilibrium set in finite multi-objective mixed-strategy games [PDF]
The Pareto-Nash equilibrium set (PNES) is described as intersection of graphs of efficient response mappings. The problem of PNES computing in finite multi-objective mixed-strategy games (Pareto-Nash games) is considered.
Victoria Lozan, Valeriu Ungureanu
doaj
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Induced Ranked Set Sampling when Units are Inducted from Several Populations
The method of ranked set sampling when units are to be inducted from several bivariate populations is introduced in this work. The best linear unbiased estimation of a common parameter of two bivariate Pareto distributions is discussed based on the n ...
P. Yageen Thomas, Anne Philip
doaj +1 more source
Predictive control of high-power three-level PWM rectifier without weighting coefficient
A high-power three-level PWM rectifier predictive control algorithm without weight coefficients is proposed for the problem of complicated design of the weight coefficients of the cost function in the traditional predictive control algorithm.
CHENG Weiwei, WU Rui
doaj +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
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
Inference on P(Y < X) Based on Ranked Set Sample for Generalized Pareto Distribution
In this paper, the problem of estimation of R = P(Y < X) based on ranked set sampling, when (X,Y) follows generalised Pareto distribution (GPD) is considered. The maximum likelihood (ML) estimators and Bayes estimators of R are obtained.
Manoj Chacko, Shiny Mathew
doaj +1 more source
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
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

