Results 51 to 60 of about 153,582,606 (300)

Computing the Pareto-Nash equilibrium set in finite multi-objective mixed-strategy games [PDF]

open access: yesComputer Science Journal of Moldova, 2013
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  

Approximating the Pareto set

open access: yes, 2001
Reihe Computational Intelligence ...
Laumanns, Marco   +2 more
openaire   +2 more sources

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

open access: yesAdvanced Robotics Research, EarlyView.
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

open access: yesStatistica, 2018
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

open access: yesGong-kuang zidonghua, 2021
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

open access: yesAdvanced 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

Inference on P(Y < X) Based on Ranked Set Sample for Generalized Pareto Distribution

open access: yesStatistica, 2022
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

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

open access: yesAdvanced 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

Pareto Set Identification With Posterior Sampling

open access: yesCoRR
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

open access: yesProceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
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

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