SOTAVerified

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

Showing 110 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
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm OptimizationCode1
Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVsCode1
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
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse StructuresCode1
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm DesignCode1
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground HandlingCode1
ILS-SUMM: Iterated Local Search for Unsupervised Video SummarizationCode0
Show:102550
← PrevPage 1 of 7Next →

No leaderboard results yet.