Swarm intelligence
A steganographic method based upon JPEG and particle swarm optimization algorithm
Information Sciences: an International Journal
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
Multi-strategy ensemble particle swarm optimization for dynamic optimization
Information Sciences: an International Journal
Replacement strategies to preserve useful diversity in steady-state genetic algorithms
Information Sciences: an International Journal
Adaptive parameter control of evolutionary algorithms to improve quality-time trade-off
Applied Soft Computing
Particle swarm optimization with preference order ranking for multi-objective optimization
Information Sciences: an International Journal
A modified particle swarm optimization via particle visual modeling analysis
Computers & Mathematics with Applications
Ant colony and particle swarm optimization for financial classification problems
Expert Systems with Applications: An International Journal
Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
Computers and Operations Research
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
The fully informed particle swarm: simpler, maybe better
IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
An approach to multimodal biomedical image registration utilizing particle swarm optimization
IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A memetic particle swarm optimization algorithm for multimodal optimization problems
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
A hybrid algorithm based on particle swarm and chemical reaction optimization
Expert Systems with Applications: An International Journal
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Despite the fact that the popular particle swarm optimizer (PSO) is currently being extensively applied to many real-world problems that often have high-dimensional and complex fitness landscapes, the effects of boundary constraints on PSO have not attracted adequate attention in the literature. However, in accordance with the theoretical analysis in [11], our numerical experiments show that particles tend to fly outside of the boundary in the first few iterations at a very high probability in high-dimensional search spaces. Consequently, the method used to handle boundary violations is critical to the performance of PSO. In this study, we reveal that the widely used random and absorbing bound-handling schemes may paralyze PSO for high-dimensional and complex problems. We also explore in detail the distinct mechanisms responsible for the failures of these two bound-handling schemes. Finally, we suggest that using high-dimensional and complex benchmark functions, such as the composition functions in [19], is a prerequisite to identifying the potential problems in applying PSO to many real-world applications because certain properties of standard benchmark functions make problems inexplicit.