Titlebook: Advances in Swarm Intelligence; 8th International Co Ying Tan,Hideyuki Takagi,Ben Niu Conference proceedings 2017 Springer International Pu

火花

Dina Mendon?a,Florian Franken Figueiredo swarm intelligence algorithm to detect communities. A new criterion, derived from the exponential random graph model with two communities, is proposed to detect the most significant community within the whole network. The feasibility and the detection accuracy of our algorithm are verified by the simulation studies.

網(wǎng)絡(luò)添麻煩

Critique, Dissent, Disciplinarity,hm improves the efficiency of PSO by recognizing inter-community edges based on .-inspired network model (PNM). Experiments in eight networks show that the proposed algorithm is effective and promising for community detection, compared with other algorithms.

Admire

An Enhanced Particle Swarm Optimization Based on , Model for Community Detectionhm improves the efficiency of PSO by recognizing inter-community edges based on .-inspired network model (PNM). Experiments in eight networks show that the proposed algorithm is effective and promising for community detection, compared with other algorithms.

AVID

idiopathic

掃興

Non-dominated Sorting and Crowding Distance Based Multi-objective Chaotic Evolution-objective chaotic evolution (MOCE). It extends the optimization application of chaotic evolution algorithm to multi-objective optimization field. The non-dominated sorting and tournament selection using crowding distance are two techniques to ensure Pareto dominance and solution diversity in EMO al