A novel metaheuristic algorithm inspired by COVID-19 for real-parameter optimization.
Soleiman Kadkhoda MohammadiDaryoush NazarpourMojtaba BeiraghiPublished in: Neural Comput. Appl. (2023)
Keyphrases
- metaheuristic
- simulated annealing
- optimal solution
- search space
- parameter optimization
- learning algorithm
- optimization problems
- em algorithm
- expectation maximization
- combinatorial optimization
- k means
- objective function
- benchmark problems
- benchmark instances
- ant colony optimization
- genetic algorithm
- scatter search
- particle swarm optimization
- genetic programming
- worst case
- np hard
- cost function
- optimization algorithm
- tabu search
- sample size
- vehicle routing problem
- evolutionary algorithm
- lower bound