Titlebook: Swarm, Evolutionary, and Memetic Computing; 4th International Co Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

ARGOT

书目名称Swarm, Evolutionary, and Memetic Computing影响因子(影响力)




书目名称Swarm, Evolutionary, and Memetic Computing影响因子(影响力)学科排名




书目名称Swarm, Evolutionary, and Memetic Computing网络公开度




书目名称Swarm, Evolutionary, and Memetic Computing网络公开度学科排名




书目名称Swarm, Evolutionary, and Memetic Computing被引频次




书目名称Swarm, Evolutionary, and Memetic Computing被引频次学科排名




书目名称Swarm, Evolutionary, and Memetic Computing年度引用




书目名称Swarm, Evolutionary, and Memetic Computing年度引用学科排名




书目名称Swarm, Evolutionary, and Memetic Computing读者反馈




书目名称Swarm, Evolutionary, and Memetic Computing读者反馈学科排名

modest

Sandholm Algorithm with K-means Clustering Approach for Multi-robot Task Allocation, the search space. Stage II calculates the biding distance based of the shortest path from the current robot position to bundle or bundle combinations. In stage III bundles are allocated to the each robot using Sandholm algorithm. The performance of the proposed method is tested with small and large

补角

Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitnfinishing process. The results conclude that fitness function SRM and PRESS evolves GP models of higher generalization ability, which may then be deployed by experts for optimization of the finishing process.

gregarious

Non-fragile Robust PI Controller Design Using Co-variance Matrix Adaptation Evolutionary Strategy,ntroller and Astrom suggested PI controller for both test systems. Simulation results demonstrated that CMA-ES based non-fragile robust PI controller has better performance in robustness as well as non-fragileness.

vertebrate

Protein Function Prediction Using Adaptive Swarm Based Algorithm, the extent of similarity between the set of functions of unannotated protein and annotated protein, to associate a function to an unannotated protein. The approach was utilized to predict protein function of Saccharomyces Cerevisiae and the experimental results reveal that our proposed method outpe

易发怒

Microgram

Fusion at Features Level in CBIR System Using Genetic Algorithm, be used at the level of the feature elements selection; where important features are preserved while ignoring remaining We used the database of 10 classes and 100 images in each class for validation of CBIR system. We performed the experiments with and without GA and observed the usefulness of feat

irradicable

New Bio-inspired Meta-Heuristics - Green Herons Optimization Algorithm - for Optimization of Travel latter requires safe guard and validation check so that the generated solutions are acceptable. With proper modifications and modeling it can also be utilized for other wide variety of real world problems and can even optimize benchmark equations. In this work we have mainly concentrated on the alg

circumvent

s generated by a model. • Apply the symmetric filter to the extended time series. This approach is called ‘model-based‘. Obviously, the forecast-horizon grows w978-3-540-22935-3978-3-540-26916-8Series ISSN 0075-8442 Series E-ISSN 2196-9957

突袭