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Metaheuristics for a crop rotation problem
(2014)
This paper presents a mathematical model adapted from literature for the crop rotation problem with demand constraints (CRP-D). The main aim of the present work is to study metaheuristics and their performance in a real ...
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines
(Elsevier B.V., 2020-12-01)
Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding results concerning a variable range of domains. One of the main shortcomings ...
Solving the 3D container ship loading planning problem by representation by rules and meta-heuristics
(2014-01-01)
This paper formulates the 3D containership loading planning problem (3D CLPP) and also proposes a new and compact representation to efficiently solve it. The key objective of stowage planning is to minimise the number of ...
Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms
(Hindawi Ltd, 2017-01-01)
Usually, metaheuristic algorithms are adapted to a large set of problems by applying few modifications on parameters for each specific case. However, this flexibility demands a huge effort to correctly tune such parameters. ...
A metaheuristic to solve the transmission expansion planning
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2007)
A metaheuristic to solve the transmission expansion planning
(Institute of Electrical and Electronics Engineers (IEEE), 2007-11-01)
In this letter, a genetic algorithm (GA) is applied to solve - the static and multistage transmission expansion planning (TEP) problem. The characteristics of the proposed GA to solve the TEP problem are presented. Results ...
Globally optimal triangulations of minimum weight using Ant Colony Optimization metaheuristic
(Iberoamerican Science & Technology Education Consortium, 2010-06)
Globally optimal triangulations are difficult to be found by deterministic methods as, for most type of criteria, no polynomial algorithm is known. In this work, we consider the Minimum Weight Triangulation (MWT) problem ...
Using metaheuristics to optimize the combination of classifier and cluster ensembles
(IOS PressAmsterdam, 2015)
We investigate how to make a simpler version of an existing algorithm, named 'C POT. 3'E, from Consensus between Classification and Clustering Ensembles, more user-friendly by automatically tuning its main parameters with ...
A Contribution to the Optimization of the Reconfiguration Problem in Radial Distribution Systems
(Springer, 2018-12-01)
Optimal reconfiguration is one of the most important strategies used to improve the operation of radially operated distribution systems. A large amount of research related to the reconfiguration problem has been carried ...