Multi-objective sine-cosine algorithm (MO-SCA) for multi-objective engineering design problems.
Mohamed A. TawhidVimal J. SavsaniPublished in: Neural Comput. Appl. (2019)
Keyphrases
- multi objective
- optimization algorithm
- engineering design problems
- objective function
- particle swarm optimization
- evolutionary algorithm
- multiobjective evolutionary algorithm
- multi objective optimization
- multi objective optimization problems
- multiagent evolutionary algorithm
- learning algorithm
- particle swarm
- cost function
- multi objective evolutionary algorithms
- multiple objectives
- differential evolution
- genetic algorithm
- simulated annealing
- nsga ii
- bi objective
- dynamic programming
- particle swarm optimization algorithm
- constrained optimization
- computational efficiency
- pareto optimal solutions
- k means
- lower bound
- optimal solution