New advances for wedding optimization and simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
Investigation of port capacity under a new approach by computer simulation
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Simulation optimization: simulation optimization
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Waterway, shipping, and ports: modeling ship arrivals in ports
Proceedings of the 35th conference on Winter simulation: driving innovation
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
A review of particle swarm optimization. Part I: background and development
Natural Computing: an international journal
Natural Computing: an international journal
Analysis of the publications on the applications of particle swarm optimisation
Journal of Artificial Evolution and Applications - Regular issue
Integrating simulation and optimization to schedule loading operations in container terminals
Computers and Operations Research
Computers and Industrial Engineering
Particle swarm for the traveling salesman problem
EvoCOP'06 Proceedings of the 6th European conference on Evolutionary Computation in Combinatorial Optimization
Computers and Industrial Engineering
Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization
International Journal of Approximate Reasoning
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This paper proposes a PSO-based optimization approach with a particular path relinking technique for moving particles. PSO is evaluated for two combinatorial problems. One under uncertainty, which represents a new application of PSO with path relinking in a stochastic scenario. PSO is considered first in a deterministic scenario for solving the Task Assignment Problem (TAP) and hereafter for a resource allocation problem in a petroleum terminal. This is considered for evaluating PSO in a problem subject to uncertainty whose performance can only be evaluated by simulation. In this case, a discrete event simulation is built for modeling a real-world facility whose typical operations of receiving and transferring oil from tankers to a refinery are made through intermediary storage tanks. The simulation incorporates uncertain data and operational details for optimization that are not considered in other mathematical optimization models. Experiments have been carried out considering issues that affect the choice of parameters for both optimization and simulation. The results show advantages of the proposed approach when compared with Genetic Algorithm and OptQuest (a commercial optimization package).