Smart lifts: controls design and performance evaluation
Proceedings of the 15th annual conference on Computers and industrial engineering
Virus-evolutionary genetic algorithm for a self-organizing manufacturing system
Computers and Industrial Engineering
Viral systems: A new bio-inspired optimisation approach
Computers and Operations Research
Particle swarm optimization applied to vertical traffic scheduling in buildings
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
A method based on stochastic dominance degrees for stochastic multiple criteria decision making
Computers and Industrial Engineering
Modelling peak-hour urban freight movements with limited data availability
Computers and Industrial Engineering
International Journal of Bio-Inspired Computation
A fuzzy bi-criteria transportation problem
Computers and Industrial Engineering
Viral Systems Application for Knapsack Problem
CICSYN '11 Proceedings of the 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks
Quantity discount pricing for container transportation services by shipping lines
Computers and Industrial Engineering
A Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A model with a solution algorithm for the cash transportation vehicle routing and scheduling problem
Computers and Industrial Engineering
Real-Time Combinatorial Optimization for Elevator Group Dispatching
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Nonlinear fixed charge transportation problem by minimum cost flow-based genetic algorithm
Computers and Industrial Engineering
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Nowadays is very common the presence of tall buildings in the business centres of the main cities of the world. Such buildings require the installation of numerous lifts that are coordinated and managed under a unique control system. Population working in the buildings follows a similar traffic pattern generating situations of traffic congestion. The problem arises when a passenger makes a hall call wishing to travel to another floor of the building. The dispatching of the most suitable car is the optimization problem we are tackling in this paper. We develop a viral system algorithm which is based on a bio-inspired virus infection analogy to deal with it. The viral system algorithm is compared to genetic algorithms, and tabu search approaches that have proven efficiency in the vertical transportation literature. The experiments undertaken in tall buildings from 10 to 24 floors, and several car configurations from 2 to 6 cars, provide valuable results and show how viral system outperforms such soft computing algorithms.