Titlebook: Bio-Inspired Computing: Theories and Applications; 16th International C Linqiang Pan,Zhihua Cui,Lianghao Li Conference proceedings 2022 Spr

鴿子

resistant

Improved AODV Routing Protocol Based on Multi-objective Simulated Annealing Algorithms to extend the lifetime of the network while allocating network resources reasonably. This paper uses Matlab to build an Ad hoc network, and carries out simulation experiments in the topology of 25 nodes. In addition, two improved AODV algorithms RA-AODV and IEEAODV are selected to compare with the

同謀

Adjourn

Feature Selection Method Based on Ant Colony Optimization Algorithm and Improved Neighborhood Discertimization algorithm and the improvement of the neighborhood discernibility matrix. Numerical examples and data set experiments show that the new feature selection method improves accuracy and reduces the number of iterations.

調(diào)情

Implementation and Application of NSGA-III Improved Algorithm in Multi-objective Environmentironments with all values, the improved NSGA-III algorithm has 22 optimal values, accounting for 78.57%. After that, we analyze the results and put forward the future improvement and research direction.

quiet-sleep

匍匐前進

Adaptive Multi-strategy Learning Particle Swarm Optimization with Evolutionary State Estimationng strategy, three state called exploration state, balance state and exploitation state are corresponding to three learning strategies respectively. The experimental results show that AMSLPSO performs better than or at least comparable with some other advanced PSO variants, on the 30 benchmark funct

SEMI

Adaptive Differential Privacy Budget Allocation Algorithm Based on Random Forested according to the decision tree weight. In the final prediction stage, the classification result with the largest weight of the corresponding decision tree is taken as the result of the random forest algorithm, so as to further improve the classification accuracy of the random forest algorithm. Th

水汽

A Node Influence Based Memetic Algorithm for Community Detection in Complex Networkslti-level greedy search is deployed to find the potential optimal solutions quickly and effectively. Extensive experiments on 28 synthetic and 6 real-world networks demonstrate that compared with 11 existing algorithms, the proposed NIMA has effective performance on detecting communities in complex

Torrid

A Hybrid Multi-objective Coevolutionary Approach for the Multi-user Agile Earth Observation Satellitnsively tested and compared with three classical multi-objective evolutionary algorithms (NSGAII, MOEA/D, IBEA) and two methods of the time-dependent multi-objective AEOSSP (D-MOMA-TD and I-MOMA-TD) on several instances which are generated based on real-word situation. Experiment results show that t