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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
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
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm DesignCode1
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
Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVsCode1
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground HandlingCode1
A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview—0
Applications of deep reinforcement learning to urban transit network design—0
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack—0
A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread—0
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework—0
A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques—0
Diversification-Based Learning in Computing and Optimization—0
A New K means Grey Wolf Algorithm for Engineering Problems—0
Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings—0
Blindfolded Spider-man Optimization: A Single-Point Metaheuristics Suitable for Continuous and Discrete Spaces—0
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations—0
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting—0
Decomposing Hard SAT Instances with Metaheuristic Optimization—0
A novel computational technique using coefficient diagram method for load frequency control in an interconnected power system—0
Dense Visual Odometry Using Genetic Algorithm—0
Adaptive Wind Driven Optimization Trained Artificial Neural Networks—0
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