An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems.
Soheyl KhalilpourazariSaman KhalilpourazaryPublished in: Soft Comput. (2019)
Keyphrases
- optimization problems
- hybrid algorithm
- combinatorial optimization
- constrained problems
- optimization methods
- hybrid algorithms
- evolutionary algorithm
- simulated annealing
- nonlinear programming
- hybrid optimization algorithm
- continuous optimization problems
- metaheuristic
- optimization method
- convex optimization problems
- objective function
- discrete optimization
- cost function
- particle swarm optimization
- combinatorial optimization problems
- differential evolution
- tabu search
- optimal solution
- benchmark problems
- ant colony optimization
- global optimization
- global convergence
- optimization algorithm
- multi objective
- ant algorithm
- imperialist competitive algorithm
- constraint satisfaction problems
- genetic programming
- optimization criteria
- computational complexity
- neural network