Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:advantage |
Flexibility
Computational Cost Parameter Sensitivity Escape Local Optima No Guarantee of Global Optimum No Need for Gradient Information |
| gptkbp:appliesTo |
gptkb:Machine_Learning
gptkb:Network_Optimization gptkb:Bioinformatics Image Processing Scheduling Data Mining Engineering Design Control Systems Resource Allocation Routing Problems |
| gptkbp:characterizedBy |
Stochastic Processes
Heuristic Methods Iterative Improvement Population-based Search |
| gptkbp:developedBy |
Multiple Researchers
|
| https://www.w3.org/2000/01/rdf-schema#label |
Metaheuristic Algorithms
|
| gptkbp:includes |
gptkb:Ant_Colony_Optimization
gptkb:Firefly_Algorithm gptkb:Particle_Swarm_Optimization gptkb:Simulated_Annealing gptkb:Genetic_Algorithm Tabu Search Differential Evolution Artificial Bee Colony Bat Algorithm Cuckoo Search Harmony Search |
| gptkbp:originatedIn |
1980s
|
| gptkbp:relatedTo |
gptkb:Swarm_Intelligence
gptkb:Heuristic_Algorithms Exact Algorithms Nature-inspired Algorithms |
| gptkbp:studiedIn |
gptkb:Mathematics
gptkb:artificial_intelligence Computer Science Operations Research |
| gptkbp:usedFor |
gptkb:Combinatorial_Optimization
Optimization Global Optimization |
| gptkbp:bfsParent |
gptkb:Network_Optimization
gptkb:Fuzzy_Integer_Programming |
| gptkbp:bfsLayer |
7
|