Cover Image

Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Ruizhe, Yi, Zhongkai, Xu, Ying, Chen, Guiyu, Yang, Haojie, Yi, Rong, Li, Tongqing, Li, Miaozhe ShenJin, Gao, Haoxiang, Duan, Hongyu
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Noise-Aware Bayesian Optimization Approach for Capacity Planning of the Distributed Energy Resources in an Active Distribution Network
by: Yang, Ruizhe, et al.
Published: (2024)

Evolutionary Alternating Direction Method of Multipliers for Constrained Multi-Objective Optimization with Unknown Constraints
by: Li, Shuang, et al.
Published: (2024)

Functional Connectivity Graph Neural Networks
by: Li, Yang, et al.
Published: (2025)

Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2024)

A Weight Adaptation Trigger Mechanism in Decomposition-based Evolutionary Multi-Objective Optimisation
by: Han, Xiaofeng, et al.
Published: (2025)

Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)

Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
by: Li, Yang, et al.
Published: (2024)

Variable Search Stepsize for Randomized Local Search in Multi-Objective Combinatorial Optimization
by: Ren, Xuepeng, et al.
Published: (2026)

Multi-Objective Communication Optimization for Temporal Continuity in Dynamic Vehicular Networks
by: Guo, Weian, et al.
Published: (2024)

A Universal Framework for Large-Scale Multi-Objective Optimization Based on Particle Drift and Diffusion
by: Li, Jia-Cheng, et al.
Published: (2025)

A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning
by: Yang, Yi, et al.
Published: (2024)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence
by: He, Xiang, et al.
Published: (2025)

Scalable Multi-Objective Optimization for Robust Traffic Signal Control in Uncertain Environments
by: Guo, Weian, et al.
Published: (2024)

Fast Surrogate Learning for Multi-Objective UAV Placement in Motorway Intelligent Transportation System
by: Guo, Weian, et al.
Published: (2026)

Random is Faster than Systematic in Multi-Objective Local Search
by: Liang, Zimin, et al.
Published: (2026)

A Scalable Benchmark Test Suite for Dynamic Multi-Objective Optimization with a Changing Number of Objectives
by: Shang, Ke, et al.
Published: (2026)

Regionalized Metric Framework: A Novel Approach for Evaluating Multimodal Multi-Objective Optimization Algorithms
by: Chen, Jintai, et al.
Published: (2025)

On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
by: Tang, Menghao, et al.
Published: (2026)

An accelerate Prediction Strategy for Dynamic Multi-Objective Optimization
by: Lei, Ru, et al.
Published: (2024)

STCSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
by: Xu, Changqing, et al.
Published: (2023)

A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future
by: Li, Ke
Published: (2024)

Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
by: Li, Ke, et al.
Published: (2024)

SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
by: Xu, Changqing, et al.
Published: (2025)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)

Composite Indicator-Guided Infilling Sampling for Expensive Multi-Objective Optimization
by: Zhen, Huixiang, et al.
Published: (2025)

An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
by: Bian, Chao, et al.
Published: (2024)

Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization
by: Zheng, Ruihao, et al.
Published: (2025)

When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation
by: Cui, Zhiji, et al.
Published: (2025)

Dual-axis attribution of zebrafish tectal microcircuits for energy-efficient and robust neurocomputing
by: Li, Ningping, et al.
Published: (2026)

Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024)

Diffusion-based Evolutionary Optimization for 3D Multi-Objective Molecular Generation
by: Sun, Ruiqing, et al.
Published: (2025)

A Bio-mimetic Neuromorphic Model for Heat-evoked Nociceptive Withdrawal Reflex in Upper Limb
by: Wang, Fengyi, et al.
Published: (2025)

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
by: Li, Xingyu
Published: (2026)

First Mathematical Runtime Analyses of Multi-Objective Evolutionary Algorithms for Multi-Valued Decision Variables
by: Li, Mingfeng, et al.
Published: (2026)

Uncertainty-Aware Offline Data-Driven Multi-Objective Optimization
by: Lyu, Huanbo, et al.
Published: (2025)

Routing-Led Evolutionary Algorithm for Large-Scale Multi-Objective VNF Placement Problems
by: Mao, Peili, et al.
Published: (2025)

$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
by: Shen, Guobin, et al.
Published: (2025)

Multi-Task Surrogate-Assisted Search with Bayesian Competitive Knowledge Transfer for Expensive Optimization
by: Lu, Yi, et al.
Published: (2025)

Aligning LLM+PDDL Symbolic Plans with Human Objective Specifications through Evolutionary Algorithm Guidance
by: Burns, Owen, et al.
Published: (2024)