Swarm intelligence
Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
Cooperative Parallel Tabu Search for Capacitated Network Design
Journal of Heuristics
Cooperative Ant Colonies for Optimizing Resource Allocation in Transportation
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Cooperative Simulated Annealing for Path Planning in Multi-robot Systems
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A review of particle swarm optimization. Part I: background and development
Natural Computing: an international journal
Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics)
Natural Computing: an international journal
Large scale evolutionary optimization using cooperative coevolution
Information Sciences: an International Journal
Improving fuzzy cognitive maps learning through memetic particle swarm optimization
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Dynamic optimal reactive power dispatch based on parallel particle swarm optimization algorithm
Computers & Mathematics with Applications
Cooperative micro-particle swarm optimization
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Cooperative micro-differential evolution for high-dimensional problems
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Cooperative models of particle swarm optimizers
Cooperative models of particle swarm optimizers
A survey of particle swarm optimization applications in electric power systems
IEEE Transactions on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Performance Models For Master/Slave Parallel Programs
Electronic Notes in Theoretical Computer Science (ENTCS)
Parallel scalable hardware implementation of asynchronous discrete particle swarm optimization
Engineering Applications of Artificial Intelligence
Tackling magnetoencephalography with particle swarm optimization
International Journal of Bio-Inspired Computation
Particle Swarm Optimization and Intelligence: Advances and Applications
Particle Swarm Optimization and Intelligence: Advances and Applications
Multi-population cooperative particle swarm optimization
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Tiny GAs for image processing applications
IEEE Computational Intelligence Magazine
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
On the computation of all global minimizers through particle swarm optimization
IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Two-layer particle swarm optimization with intelligent division of labor
Engineering Applications of Artificial Intelligence
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A parallel master-slave model of the recently proposed cooperative micro-particle swarm optimization approach is introduced. The algorithm is based on the decomposition of the original search space in subspaces of smaller dimension. Each subspace is probed by a subswarm of small size that identifies suboptimal partial solution components. A context vector that serves as repository for the best attained partial solutions of all subswarms is used for the evaluation of the particles. The required modifications to fit the original algorithm within a parallel computation framework are discussed along with their impact on performance. Also, both linear and random allocation of direction components to subswarms are considered to render the algorithm capable of capturing possible correlations among decision variables. The proposed approach is evaluated on two types of computer systems, namely an academic cluster and a desktop multicore system, using a popular test suite. Statistical analysis of the obtained results reveals that, besides the expected run-time superiority of the parallel model, significant improvements in solution quality can also be achieved. Different factors that may affect performance are pointed out, offering intuition on the expected behavior of the parallel model.