On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Local area networks
Telecommunications network design algorithms
Telecommunications network design algorithms
Computational intelligence PC tools
Computational intelligence PC tools
Topological design of local-area networks using genetic algorithms
IEEE/ACM Transactions on Networking (TON)
A GA paradigm for learning fuzzy rules
Fuzzy Sets and Systems - Special issue on connectionist and hybrid connectionist systems for approximate reasoning
The particle swarm: social adaptation in information-processing systems
New ideas in optimization
Particle swarm optimization method in multiobjective problems
Proceedings of the 2002 ACM symposium on Applied computing
IP Routing Fundamentals
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
Some Methods for Nonlinear Multi-objective Optimization
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Particle Swarm Optimization and Hill Climbing for the bandwidth minimization problem
Applied Intelligence
Development of decoupling scheme for high order MIMO process based on PSO technique
Applied Intelligence
A new fuzzy operator and its application to topology design of distributed local area networks
Information Sciences: an International Journal
Multiobjective optimization using dynamic neighborhood particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
MOPSO: a proposal for multiple objective particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A comparative study of stochastic optimization methods in electric motor design
Applied Intelligence
Fuzzy hybrid simulated annealing algorithms for topology design of switched local area networks
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Hybrid System to Determine the Ranking of a Returning Participant in Eurovision
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Local search genetic algorithm for optimal design of reliablenetworks
IEEE Transactions on Evolutionary Computation
A swarm intelligence algorithm based game theory
International Journal of Computing Science and Mathematics
Adaptive cooperative particle swarm optimizer
Applied Intelligence
Cell assignment in hybrid CMOS/nanodevices architecture using Tabu Search
Applied Intelligence
Cooperative Velocity Updating model based Particle Swarm Optimization
Applied Intelligence
An improved quantum-behaved particle swarm optimization algorithm
Applied Intelligence
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Particle swarm optimization (PSO) is a powerful optimization technique that has been applied to solve a number of complex optimization problems. One such optimization problem is topology design of distributed local area networks (DLANs). The problem is defined as a multi-objective optimization problem requiring simultaneous optimization of monetary cost, average network delay, hop count between communicating nodes, and reliability under a set of constraints. This paper presents a multi-objective particle swarm optimization algorithm to efficiently solve the DLAN topology design problem. Fuzzy logic is incorporated in the PSO algorithm to handle the multi-objective nature of the problem. Specifically, a recently proposed fuzzy aggregation operator, namely the unified And-Or operator (Khan and Engelbrecht in Inf. Sci. 177: 2692---2711, 2007), is used to aggregate the objectives. The proposed fuzzy PSO (FPSO) algorithm is empirically evaluated through a preliminary sensitivity analysis of the PSO parameters. FPSO is also compared with fuzzy simulated annealing and fuzzy ant colony optimization algorithms. Results suggest that the fuzzy PSO is a suitable algorithm for solving the DLAN topology design problem.