Cover Image

EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Mai, Yazdani, Delaram, She, Zeneng, Yazdani, Danial, Luo, Wenjian, Li, Changhe, Branke, Juergen, Nguyen, Trung Thanh, Gandomi, Amir H., Yang, Shengxiang, Jin, Yaochu, Yao, Xin
Format:	Preprint
Published:	2023
Subjects:	Neural and Evolutionary Computing Mathematical Software
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Competition on Dynamic Optimization Problems Generated by Generalized Moving Peaks Benchmark (GMPB)
by: Yazdani, Danial, et al.
Published: (2021)

PORTAL: Controllable Landscape Generator for Continuous Optimization-Part I: Framework
by: Yazdani, Danial, et al.
Published: (2025)

Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes
by: Yazdani, Danial, et al.
Published: (2024)

A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions
by: Du, Wei, et al.
Published: (2024)

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
by: Neshat, Mehdi, et al.
Published: (2025)

Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off?
by: Yu, Xinmeng, et al.
Published: (2026)

Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models
by: Neshat, Mehdi, et al.
Published: (2025)

Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks
by: Zhao, Jie, et al.
Published: (2024)

Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Unified Tool
by: Diao, Yiya, et al.
Published: (2025)

Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting
by: Neshat, Mehdi, et al.
Published: (2024)

Runtime Analysis of Evolutionary Algorithms for Multi-party Multi-objective Optimization
by: Sun, Yuetong, et al.
Published: (2025)

EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
by: Yan, Xueming, et al.
Published: (2024)

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning
by: Jiang, Tao, et al.
Published: (2025)

Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting
by: Dehkordi, Amin Abdollahi, et al.
Published: (2025)

Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization
by: Luo, Wenjian, et al.
Published: (2024)

EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
by: Huang, Beichen, et al.
Published: (2023)

An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
by: Huang, Han, et al.
Published: (2025)

A Generalized Evolutionary Metaheuristic (GEM) Algorithm for Engineering Optimization
by: Yang, Xin-She
Published: (2024)

MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking
by: Li, Yanchi, et al.
Published: (2023)

An Efficient Evolutionary Algorithm for Few-for-Many Optimization
by: Shang, Ke, et al.
Published: (2026)

Optimizing Hearthstone Agents using an Evolutionary Algorithm
by: García-Sánchez, Pablo, et al.
Published: (2024)

Generalized Heavy-tailed Mutation for Evolutionary Algorithms
by: Eremeev, Anton V., et al.
Published: (2026)

Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons
by: Liu, Jiao, et al.
Published: (2024)

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
by: Zhang, Wanting, et al.
Published: (2024)

Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
by: Krzywda, Maciej, et al.
Published: (2024)

Self-Adjusting Evolutionary Algorithms Are Slow on Multimodal Landscapes
by: Lengler, Johannes, et al.
Published: (2024)

GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms
by: Rupp, Florian, et al.
Published: (2024)

Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
by: He, Jun, et al.
Published: (2023)

Annotated History of Modern AI and Deep Learning
by: Schmidhuber, Juergen
Published: (2022)

Deep Learning: Our Miraculous Year 1990-1991
by: Schmidhuber, Juergen
Published: (2020)

Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons
by: Chen, Kesheng, et al.
Published: (2026)

Evolutionary Algorithm for Chance Constrained Quadratic Multiple Knapsack Problem
by: Perera, Kokila Kasuni, et al.
Published: (2025)

Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms
by: Casas, Walter P., et al.
Published: (2025)

Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
by: Wietheger, Simon, et al.
Published: (2024)

A Flexible Evolutionary Algorithm With Dynamic Mutation Rate Archive
by: Krejca, Martin S., et al.
Published: (2024)

Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
by: Antipov, Denis, et al.
Published: (2024)

Comparative Analysis of Evolutionary Algorithms for Energy-Aware Production Scheduling
by: Burmeister, Sascha C, et al.
Published: (2025)

All Constant Mutation Rates for the $(1+1)$ Evolutionary Algorithm
by: Kelley, Andrew James
Published: (2026)

Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments
by: Cotta, Carlos, et al.
Published: (2024)

Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra
by: Richter, Hendrik, et al.
Published: (2026)