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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 1–10 of 69 papers

TitleStatusHype
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
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