Results 111 to 120 of about 4,175,963 (385)

Social optimality in quantum Bayesian games

open access: yes, 2015
A significant aspect of the study of quantum strategies is the exploration of the game-theoretic solution concept of the Nash equilibrium in relation to the quantization of a game. Pareto optimality is a refinement on the set of Nash equilibria.
Abbott, Derek   +2 more
core   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck   +4 more
wiley   +1 more source

MOBCA: Multi-Objective Besiege and Conquer Algorithm

open access: yesBiomimetics
The besiege and conquer algorithm has shown excellent performance in single-objective optimization problems. However, there is no literature on the research of the BCA algorithm on multi-objective optimization problems.
Jianhua Jiang   +4 more
doaj   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

open access: yesAdvanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He   +3 more
wiley   +1 more source

Pareto-Optimality in Linear Regression

open access: yesJournal of Mathematical Analysis and Applications, 1995
In this paper the linear regression problem is studied in the context of vector optimization theory. The set of Pareto-optimal solutions is represented as the set of optimal solutions to certain optimization problems, and is geometrically characterized as a finite union of bounded polyhedra.
Carrizosa Priego, Emilio José   +4 more
openaire   +3 more sources

Heat Transfer Enhancement Characteristics of Pin‐Fin Liquid Cooling Plate for Pouch Lithium‐Ion Battery

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Addressing issues such as low heat transfer intensity, high system power consumption, and poor temperature uniformity in liquid cooling plates for lithium‐ion batteries (LIBs) in electric vehicles (EVs), a pin‐fin liquid cooling plate was designed to enhance comprehensive heat transfer performance.
Feifei Liu   +5 more
wiley   +1 more source

Dynamic Multi-objective Optimization Algorithm Based on RNN Information Accumulation [PDF]

open access: yesJisuanji kexue
Dynamic multi-objective optimization problems exist widely in real life.After the environment changes,it is necessary for the evolutionary algorithm to have the abilities of fast convergence,fast tracking Pareto optimal frontier and maintaining diversity.
CHENG Xuefeng, DONG Minggang
doaj   +1 more source

Pareto optimal metabolic engineering for the growth-coupled overproduction of sustainable chemicals. [PDF]

open access: yesBiotechnol Bioeng, 2022
Amaradio MN   +5 more
europepmc   +1 more source

Implications of Pareto Efficiency for Two-Agent (Household) Choice [PDF]

open access: yes, 2009
We study when two-member household choice behavior is compatible with Pareto optimality. We ask when an external observer of household choices, who does not know the individuals' preferences, can rationalize the choices as being Pareto-optimal.
Echenique, Federico, Ivanov, Lozan
core  

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