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Metaheuristic Optimization
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In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem. For some examples, you can visit https://aliasgharheidari.com/Publications.html
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Optimizing Interplanetary Trajectories using Hybrid Meta-heuristic
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization
Graph-Theoretic Measures for Interpretable Multicriteria Decision Making in Emergency Department Layout Optimization
Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems
Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm
Goat Optimization Algorithm: A Novel Bio-Inspired Metaheuristic for Global Optimization
Applications of deep reinforcement learning to urban transit network design
PSO-based Sliding Mode Current Control of Grid-Forming Inverter in Rotating Frame
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
Navigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic Constraints
Optimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization
Social Distancing Induced Coronavirus Optimization Algorithm (COVO): Application to Multimodal Function Optimization and Noise Removal
Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search
Metaheuristics is All You Need
Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization
HRA: A Multi-Criteria Framework for Ranking Metaheuristic Optimization Algorithms
Multistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization
JCLEC-MO: a Java suite for solving many-objective optimization engineering problems
Time to Stop and Think: What kind of research do we want to do?
Decomposing Hard SAT Instances with Metaheuristic Optimization
Dense Visual Odometry Using Genetic Algorithm
A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting
Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving
Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations
HiveNAS: Neural Architecture Search using Artificial Bee Colony Optimization
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