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Metaheuristic Optimization

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

Papers

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Showing 1–25 of 69 papers

TitleStatusHype
Navigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic ConstraintsCode2
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating MetaheuristicsCode2
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm DesignCode1
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground HandlingCode1
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse StructuresCode1
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular DesignCode1
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---Code1
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm OptimizationCode1
Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVsCode1
Blindfolded Spider-man Optimization: A Single-Point Metaheuristics Suitable for Continuous and Discrete Spaces—0
Optimizing Interplanetary Trajectories using Hybrid Meta-heuristic—0
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization—0
Graph-Theoretic Measures for Interpretable Multicriteria Decision Making in Emergency Department Layout Optimization—0
Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems—0
Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm—0
Goat Optimization Algorithm: A Novel Bio-Inspired Metaheuristic for Global Optimization—0
Applications of deep reinforcement learning to urban transit network design—0
PSO-based Sliding Mode Current Control of Grid-Forming Inverter in Rotating Frame—0
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways—0
Optimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)—0
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level OptimizationCode0
Social Distancing Induced Coronavirus Optimization Algorithm (COVO): Application to Multimodal Function Optimization and Noise Removal—0
Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings—0
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
Metaheuristics is All You Need—0
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