Swarm intelligence
Particle swarm optimization method in multiobjective problems
Proceedings of the 2002 ACM symposium on Applied computing
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Multiobjective optimization using dynamic neighborhood particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Convergence acceleration operator for multiobjective optimization
IEEE Transactions on Evolutionary Computation
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
Brain storm optimization algorithm
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
HM'05 Proceedings of the Second international conference on Hybrid Metaheuristics
Evolutionary multi-objective optimization: a historical view of the field
IEEE Computational Intelligence Magazine
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Survey of clustering algorithms
IEEE Transactions on Neural Networks
Brain storm optimization algorithm with modified step-size and individual generation
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Brain storm optimization algorithm for multi-objective optimization problems
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Bacterial Foraging Optimization
International Journal of Swarm Intelligence Research
International Journal of Swarm Intelligence Research
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
| Hi-index | 0.00 |
In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving multi-objective optimization problems. In this paper, the authors propose a new multi-objective brain storm optimization algorithm in which the clustering strategy is applied in the objective space instead of in the solution space in the original brain storm optimization algorithm for solving single objective optimization problems. Two versions of multi-objective brain storm optimization algorithm with different characteristics of diverging operation were tested to validate the usefulness and effectiveness of the proposed algorithm. Experimental results show that the proposed multi-objective brain storm optimization algorithm is a very promising algorithm, at least for solving these tested multi-objective optimization problems.