SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems.
Rui ZhongJun YuChao ZhangMasaharu MunetomoPublished in: Neural Comput. Appl. (2024)
Keyphrases
- latin hypercube sampling
- optimization problems
- evolutionary algorithm
- artificial intelligence
- engineering design
- selection algorithm
- objective function
- cost function
- distance measure
- metaheuristic
- outlier detection
- combinatorial optimization
- databases
- information retrieval
- engineering problems
- watermarking algorithm
- database
- computational intelligence
- clustering algorithm
- genetic algorithm