J. Larrañeta
University of Seville
25 Papers
186 Citations
J. Larrañeta is an academic researcher from University of Seville. The author has contributed to research in topics: Genetic algorithm & Computer science. The author has an hindex of 11, co-authored 24 publications.
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Papers
Solutions applicable by local administrations for urban logistics improvement
TL;DR: In this paper, a compilation of the solutions or initiatives that can be implemented by local administrations in order to improve freight deliveries in urban environments is presented, which are classified into those related to public infrastructure, land use management, access conditions, traffic management, enforcement and promotion.
404
Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic
TL;DR: The genetic algorithm is compared with the universal controller algorithm in industry applications and results allow us to affirm that the genetic algorithm reaches a better performance attending to the system waiting times than traditional duplex algorithms.
88
Kohonen maps for solving a class of location-allocation problems
TL;DR: A continuous space problem in which demand centers are independently served from a given number of independent, uncapacitated supply centers, recognized as identical to certain Cluster Analysis and Vector Quantization problems.
53
Primal-dual approach to the single level capacitated lot-sizing problem
TL;DR: In this article, the Lagrangean relaxation of the single level capacitated dynamic lot-sizing problem was solved using the primal-dual method, which has monotone and finite convergence properties.
35
A Genetic Algorithm for Controlling Elevator Group Systems
Pablo Cortés,J. Larrañeta,Luis Onieva +2 more
- 05 Jun 2009
TL;DR: A genetic algorithm is presented that is compared with traditional controller algorithms in industry applications and reaches a better performance attending to the system waiting times than THV algorithm.