Image de couverture de livre

A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ren, Yingying, Li, Qiuli, Guo, Yangyang, Pedrycz, Witold, Xing, Lining, Liu, Anfeng, Song, Yanjie
Format:	Preprint
Publié:	2024
Sujets:	Neural and Evolutionary Computing Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Knowledge-driven Memetic Algorithm for the Energy-efficient Distributed Homogeneous Flow Shop Scheduling Problem
par: Xu, Yunbao, et autres
Publié: (2024)

LLM4CMO: Large Language Model-aided Algorithm Design for Constrained Multiobjective Optimization
par: Chen, Zhen-Song, et autres
Publié: (2025)

Genetic Algorithm Based Combinatorial Optimization for the Optimal Design of Water Distribution Network of Gurudeniya Service Zone, Sri Lanka
par: Senavirathna, K. H. M. R. N., et autres
Publié: (2023)

Arc Routing Problems with Multiple Trucks and Drones: A Hybrid Genetic Algorithm
par: Sobhanan, Abhay, et autres
Publié: (2025)

Optimal Restart Strategies for Parameter-dependent Optimization Algorithms
par: Schönenberger, Lisa, et autres
Publié: (2025)

An Evolutionary Task Scheduling Algorithm Using Fuzzy Fitness Evaluation Method for Communication Satellite Network
par: Jiang, Xuemei, et autres
Publié: (2024)

S-LCG: Structured Linear Congruential Generator-Based Deterministic Algorithm for Search and Optimization
par: Mohammed, Ahmed Qasim, et autres
Publié: (2026)

Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms
par: López-Ibáñez, Manuel, et autres
Publié: (2024)

Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism
par: Karunarathne, Wathsala, et autres
Publié: (2024)

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
par: Song, Yanjie, et autres
Publié: (2023)

Fast and robust parametric and functional learning with Hybrid Genetic Optimisation (HyGO)
par: Robledo, Isaac, et autres
Publié: (2025)

Genetic Optimization of a Software-Defined GNSS Receiver
par: Train, Laura, et autres
Publié: (2025)

An Improved Dung Beetle Optimizer for Random Forest Optimization
par: Tan, Lianghao, et autres
Publié: (2024)

An Effective Two-Phase Genetic Algorithm for Solving the Resource Constrained Project Scheduling Problem (RCPSP)
par: Sun, D., et autres
Publié: (2025)

Exact and Evolutionary Algorithms for Sequential Multi-Objective Transmission Topology Planning
par: Groeneveld, Job, et autres
Publié: (2026)

Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization
par: Bala, Indu, et autres
Publié: (2024)

Future Trends in the Design of Memetic Algorithms: the Case of the Linear Ordering Problem
par: Lugo, Lázaro, et autres
Publié: (2024)

Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems
par: Ahouei, Saba Sadeghi, et autres
Publié: (2025)

Goat Optimization Algorithm: A Novel Bio-Inspired Metaheuristic for Global Optimization
par: Nozari, Hamed, et autres
Publié: (2025)

Underdamped Particle Swarm Optimization
par: Rodríguez, Matías Ezequiel Hernández
Publié: (2025)

Robust Differential Evolution via Nonlinear Population Size Reduction and Adaptive Restart: The ARRDE Algorithm
par: Muzakka, Khoirul Faiq, et autres
Publié: (2025)

Modified FOX Optimizer for Solving optimization problems
par: Hasan, Dler O., et autres
Publié: (2025)

PSO and the Traveling Salesman Problem: An Intelligent Optimization Approach
par: Araújo, Kael Silva, et autres
Publié: (2025)

Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization
par: Ota, Ryosuke, et autres
Publié: (2021)

An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization
par: Xu, Dejun, et autres
Publié: (2024)

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points
par: Uchida, Kento, et autres
Publié: (2024)

Lyapunov Stability of Stochastic Vector Optimization: Theory and Numerical Implementation
par: Santos, Thiago, et autres
Publié: (2026)

Biomimicry in Radiation Therapy: Optimizing Patient Scheduling for Improved Treatment Outcomes
par: K., Keshav Kumar, et autres
Publié: (2024)

An Adaptive KKT-Based Indicator for Convergence Assessment in Multi-Objective Optimization
par: Santos, Thiago, et autres
Publié: (2026)

Optimization of Complex Process, Based on Design Of Experiments, a Generic Methodology
par: Baderot, Julien, et autres
Publié: (2024)

Annealed Mean Field Descent Is Highly Effective for Quadratic Unconstrained Binary Optimization
par: Kuroki, Kyo, et autres
Publié: (2025)

Wave Function Collapse Set Covering and the Hill Climbing Algorithm: A New, Fast Heuristic and Metaheuristic Pairing for the Minimum Set Cover Problem
par: Oprea, David, et autres
Publié: (2025)

Neural Surrogate-assisted Glider Wing Design with Stability Analysis and Multi-method Optimization
par: Lipaei, Arash Fath, et autres
Publié: (2025)

LPBSA: Enhancing Optimization Efficiency through Learner Performance-based Behavior and Simulated Annealing
par: Hamad, Dana R., et autres
Publié: (2024)

Blindfolded Spider-man Optimization: A Single-Point Metaheuristics Suitable for Continuous and Discrete Spaces
par: Mittal, Satyam
Publié: (2025)

Frenetic Cat-inspired Particle Optimization: a Markov state-switching hybrid swarm optimizer with application to cardiac digital twinning
par: Sánchez, Jorge, et autres
Publié: (2026)

Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization
par: Hamano, Ryoki, et autres
Publié: (2022)

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
par: Tschernutter, Daniel, et autres
Publié: (2024)

Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
par: Wan, Ruyin, et autres
Publié: (2024)

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
par: Gu, Shengda, et autres
Publié: (2025)