Title
Set-Based Discrete Particle Swarm Optimization Based on Decomposition for Permutation-Based Multiobjective Combinatorial Optimization Problems.
Abstract
This paper studies a specific class of multiobjective combinatorial optimization problems (MOCOPs), namely the permutation-based MOCOPs. Many commonly seen MOCOPs, e.g., multiobjective traveling salesman problem (MOTSP), multiobjective project scheduling problem (MOPSP), belong to this problem class and they can be very different. However, as the permutation-based MOCOPs share the inherent similar...
Year
DOI
Venue
2018
10.1109/TCYB.2017.2728120
IEEE Transactions on Cybernetics
Keywords
Field
DocType
Computer science,Urban areas,Encoding,Particle swarm optimization,Pareto optimization,Schedules
Continuous optimization,Mathematical optimization,Extremal optimization,Discrete optimization,Quadratic assignment problem,Multi-swarm optimization,Combinatorial optimization,Optimization problem,Mathematics,Metaheuristic
Journal
Volume
Issue
ISSN
48
7
2168-2267
Citations 
PageRank 
References 
8
0.42
43
Authors
7
Name
Order
Citations
PageRank
Xue Yu1173.53
Wei-Neng Chen214313.16
Tianlong Gu347146.73
Huaxiang Zhang443656.32
Huaqiang Yuan510711.47
Sam Kwong64590315.78
Jun Zhang72491127.27