Cover Image

Two-phase Optimization of Binary Sequences with Low Peak Sidelobe Level Value

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bošković, Borko, Brest, Janez
Format:	Preprint
Published:	2021
Subjects:	Artificial Intelligence 68T20 I.2.8; G.1.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dual-Step Optimization for Binary Sequences with High Merit Factors
by: Pšeničnik, Blaž, et al.
Published: (2024)

Parallel Self-Avoiding Walks for a Low-Autocorrelation Binary Sequences Problem
by: Bošković, Borko, et al.
Published: (2022)

A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization
by: Kim, Chul, et al.
Published: (2025)

A Family of Quaternion-Valued Differential Evolution Algorithms for Numerical Function Optimization
by: Altamirano-Gomez, Gerardo, et al.
Published: (2026)

Improving Hyperparameter Optimization with Checkpointed Model Weights
by: Mehta, Nikhil, et al.
Published: (2024)

Constraint Satisfaction Approaches to Wordle: Novel Heuristics and Cross-Lexicon Validation
by: Arafat, Jahidul, et al.
Published: (2025)

Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions
by: Marwitz, Florian Andreas, et al.
Published: (2025)

Cooperative Patrol Routing: Optimizing Urban Crime Surveillance through Multi-Agent Reinforcement Learning
by: Palma-Borda, Juan, et al.
Published: (2025)

Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
by: Lin, Shanxian, et al.
Published: (2026)

Relating Reinforcement Learning to Dynamic Programming-Based Planning
by: Georgiev, Filip V., et al.
Published: (2026)

Towards Systematic Generalization for Power Grid Optimization Problems
by: Memon, Zeeshan, et al.
Published: (2026)

Scalable Nested Optimization for Deep Learning
by: Lorraine, Jonathan
Published: (2024)

Machine Learning Algorithms for Improving Black Box Optimization Solvers
by: Kimiaei, Morteza, et al.
Published: (2025)

Like Playing a Video Game: Spatial-Temporal Optimization of Foot Trajectories for Controlled Football Kicking in Bipedal Robots
by: Li, Wanyue, et al.
Published: (2025)

Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
by: Pachet, François, et al.
Published: (2026)

Joint Deployment and Beamforming Design of Aerial STAR-RIS Aided Networks with Reinforcement Learning
by: Ma, Zhuoyuan, et al.
Published: (2023)

Bond-dimension scaling of a local-refinement advantage over hyperoptimized tensor-network contraction on Sycamore like topologies
by: Guerrero, Rubén Darío
Published: (2026)

Game-Theoretic Discovery of Quantum Error-Correcting Codes Through Nash Equilibria
by: Guerrero, Rubén Darío
Published: (2025)

Multi-Party Multi-Objective Optimization as Consensus Search: Runtime Analysis of Cross-Party Recombination
by: Fang, Xiaolei, et al.
Published: (2026)

Accelerating Evolution: Integrating PSO Principles into Real-Coded Genetic Algorithm Crossover
by: Jin, Xiaobo, et al.
Published: (2025)

Is Selection All You Need in Differential Evolution?
by: Kitamura, Tomofumi, et al.
Published: (2025)

Efficient Contextual Preferential Bayesian Optimization with Historical Examples
by: Khan, Farha A., et al.
Published: (2022)

Sequential, Parallel and Consecutive Hybrid Evolutionary-Swarm Optimization Metaheuristics
by: Urbańczyk, Piotr, et al.
Published: (2025)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
by: Zhang, Zhi, et al.
Published: (2024)

A four-player potential game for barren-plateau-aware quantum ansatz design
by: Guerrero, Rubén Darío
Published: (2026)

Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
by: Romero, Angel, et al.
Published: (2023)

BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization
by: Jung, Minchan, et al.
Published: (2024)

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
by: Su, Jiarui, et al.
Published: (2026)

CellARC: Measuring Intelligence with Cellular Automata
by: Lžičař, Miroslav
Published: (2025)

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

Optimizing Donor Outreach for Blood Collection Sessions: A Scalable Decision Support Framework
by: Carneiro, André, et al.
Published: (2026)

Anarchy in the swarm: Testing informed and uninformed diversity-enhancing mechanisms within PSO framework
by: Urbańczyk, Piotr, et al.
Published: (2026)

Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions
by: Battiti, Roberto, et al.
Published: (2025)

Overtourism to Equilibrium: A System Dynamics & Multi-Objective Model for Sustainable Destinations
by: Lyu, Huanzhu, et al.
Published: (2025)

STACHE: Local Black-Box Explanations for Reinforcement Learning Policies
by: Elashkin, Andrew, et al.
Published: (2025)

TOPSIS-like metaheuristic for LABS problem
by: Urbańczyk, Aleksandra, et al.
Published: (2025)

Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
by: Urbańczyk, Aleksandra, et al.
Published: (2025)

Decentralized Nonlinear Model Predictive Control-Based Flock Navigation with Real-Time Obstacle Avoidance in Unknown Obstructed Environments
by: Gerdpratoom, Nuthasith, et al.
Published: (2025)

When Are Two RLHF Objectives the Same?
by: Gaikwad, Madhava
Published: (2025)

Active Causal Experimentalist (ACE): Learning Intervention Strategies via Direct Preference Optimization
by: Cooper, Patrick, et al.
Published: (2026)