Conservation of information in search: measuring the cost of success
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive particle swarm optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new hybrid multi-agent-based particle swarm optimisation technique
International Journal of Bio-Inspired Computation
Evolutionary tristate PSO for strategic bidding of pumped-storage hydroelectric plant
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Chaotic maps based on binary particle swarm optimization for feature selection
Applied Soft Computing
Integrated Learning Particle Swarm Optimizer for global optimization
Applied Soft Computing
Two-layer particle swarm optimization for unconstrained optimization problems
Applied Soft Computing
Expert Systems with Applications: An International Journal
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Re-diversified particle swarm optimization
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Brief paper: An improved differential evolution algorithm for the task assignment problem
Engineering Applications of Artificial Intelligence
A review on particle swarm optimization algorithms and their applications to data clustering
Artificial Intelligence Review
An improved particle swarm optimization with an adaptive updating mechanism
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
WSEAS Transactions on Systems and Control
The block diagram method for designing the particle swarm optimization algorithm
Journal of Global Optimization
Diversity enhanced particle swarm optimization with neighborhood search
Information Sciences: an International Journal
Modified particle swarm optimization with switching update strategy
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
High dimensional problem based on elite-grouped adaptive particle swarm optimization
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Particle swarm optimization with increasing topology connectivity
Engineering Applications of Artificial Intelligence
Hierarchical Particle Swarm Optimization with Ortho-Cyclic Circles
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
This paper proposes a novel variant of particle swarm optimization (PSO), named orthogonal PSO (OPSO), for solving intractable large parameter optimization problems. The standard version of PSO is associated with the lack of a mechanism responsible for the process of high-dimensional vector spaces. The high performance of OPSO arises mainly from a novel move behavior using an intelligent move mechanism (IMM) which applies orthogonal experimental design to adjust a velocity for each particle by using a systematic reasoning method instead of the conventional generate-and-go method. The IMM uses a divide-and- conquer approach to cope with the curse of dimensionality in determining the next move of particles. It is shown empirically that the OPSO performs well in solving parametric benchmark functions and a task assignment problem which is NP-complete compared with the standard PSO with the conventional move behavior. The OPSO with IMM is more specialized than the PSO and performs well on large-scale parameter optimization problems with few interactions between variables.