Cover Image

From Frustration to Fun: An Adaptive Problem-Solving Puzzle Game Powered by Genetic Algorithm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	McConnell, Matthew, Zhao, Richard
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Multimedia Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Long-Form Text-to-Music Generation with Adaptive Prompts: A Case Study in Tabletop Role-Playing Games Soundtracks
by: Marra, Felipe, et al.
Published: (2024)

A Quantum-Inspired Algorithm for Solving Sudoku Puzzles and the MaxCut Problem
by: Zhao, Max B., et al.
Published: (2025)

E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
by: Qu, Qiang, et al.
Published: (2024)

An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM
by: Abdalla, Hemn Barzan, et al.
Published: (2023)

Hybrid Firefly-Genetic Algorithm for Single and Multi-dimensional 0-1 Knapsack Problems
by: Malanthara, Aswathi, et al.
Published: (2024)

A Neural Rewriting System to Solve Algorithmic Problems
by: Petruzzellis, Flavio, et al.
Published: (2024)

Segmenting Watermarked Texts From Language Models
by: Li, Xingchi, et al.
Published: (2024)

Improved Compact Genetic Algorithms with Efficient Caching
by: Dutta, Prasanta, et al.
Published: (2025)

Decoupling Numerical and Structural Parameters: An Empirical Study on Adaptive Genetic Algorithms via Deep Reinforcement Learning for the Large-Scale TSP
by: Wang, Hongyu, et al.
Published: (2026)

MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms
by: Ng, Isabelle Diana May-Xin, et al.
Published: (2025)

Strategies for Resource Allocation of Two Competing Companies using Genetic Algorithm
by: Cheung, Wing Keung, et al.
Published: (2025)

Efficient Disruption of Criminal Networks through Multi-Objective Genetic Algorithms
by: Darmadi, Yehezkiel, et al.
Published: (2026)

Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming
by: He, Yifan, et al.
Published: (2024)

Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach
by: Balat, Mazen, et al.
Published: (2024)

TPC-ViT: Token Propagation Controller for Efficient Vision Transformer
by: Zhu, Wentao
Published: (2024)

A Genetic Algorithm for Multi-Capacity Fixed-Charge Flow Network Design
by: Eardley, Caleb, et al.
Published: (2024)

Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
by: Zhang, Duzhen, et al.
Published: (2022)

Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
by: Zheng, Weijie, et al.
Published: (2022)

Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem
by: Heins, Jonathan, et al.
Published: (2024)

Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm
by: Acharya, Kamal, et al.
Published: (2024)

Application of the Brain Drain Optimization Algorithm to the N-Queens Problem
by: Jolfaei, Sahar Ramezani, et al.
Published: (2025)

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
by: Zhang, Yisong, et al.
Published: (2025)

PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems
by: Malik, Manuj, et al.
Published: (2026)

Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections
by: Farahmand-Tabar, Salar, et al.
Published: (2024)

GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes
by: Shi, Zhaoning, et al.
Published: (2024)

HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
by: Dat, Pham Vu Tuan, et al.
Published: (2024)

Adaptive Genetic Selection based Pinning Control with Asymmetric Coupling for Multi-Network Heterogeneous Vehicular Systems
by: Guo, Weian, et al.
Published: (2024)

An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems
by: Chauhan, Dikshit, et al.
Published: (2025)

Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem
by: Pathiranage, Ishara Hewa, et al.
Published: (2024)

Theoretical Analysis of Quality Diversity Algorithms for a Classical Path Planning Problem
by: Dang, Duc-Cuong, et al.
Published: (2024)

Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks
by: Truong, Tran Thuy Nga, et al.
Published: (2025)

GEGO: A Hybrid Golden Eagle and Genetic Optimization Algorithm for Efficient Hyperparameter Tuning in Resource-Constrained Environments
by: Nazarians, Amaras, et al.
Published: (2026)

Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising
by: Yang, Qi, et al.
Published: (2025)

An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems
by: Tian, Haoxiang, et al.
Published: (2025)

A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
by: Osaba, Eneko, et al.
Published: (2024)

Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm
by: Rahman, Md. Mahfuzur, et al.
Published: (2024)

Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
by: Pan, Wenxuan, et al.
Published: (2024)

Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems
by: Irmouli, Maissa, et al.
Published: (2023)

R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm
by: Tahernezhad-Javazm, Farajollah, et al.
Published: (2024)

From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
by: van Stein, Niki, et al.
Published: (2025)