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Carlos Contreras-Bolton
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Supporting multi-depot and stochastic waste collection management in clustered urban areas via simulation–optimization
A Gruler, C Fikar, AA Juan, P Hirsch, C Contreras-Bolton
Journal of Simulation 11 (1), 11-19, 2017
1022017
Automatic combination of operators in a genetic algorithm to solve the traveling salesman problem
C Contreras-Bolton, V Parada
PloS one 10 (9), e0137724, 2015
542015
A Multi-operator genetic algorithm for the generalized minimum spanning tree problem
C Contreras-Bolton, G Gatica, CR Barra, V Parada
Expert Systems with Applications 50, 1-8, 2016
412016
Models and algorithms for the Traveling Salesman Problem with Time-dependent Service times
V Cacchiani, C Contreras-Bolton, P Toth
European Journal of Operational Research 283 (3), 825-843, 2020
302020
An optimization-based approach for an integrated forest fire monitoring system with multiple technologies and surveillance drones
R De la Fuente, MM Aguayo, C Contreras-Bolton
European Journal of Operational Research 313 (2), 435–451, 2024
192024
A biased-randomized heuristic for the waste collection problem in smart cities
A Gruler, AA Juan, C Contreras-Bolton, G Gatica
Applied Mathematics and Computational Intelligence, 2015, 255-263, 2018
192018
Automatically Generated Algorithms for the Vertex Coloring Problem
C Contreras-Bolton, G Gatica, V Parada
PLOS ONE 8 (3), e58551, 2013
142013
Automatic design of specialized algorithms for the binary knapsack problem
N Acevedo, C Rey, C Contreras-Bolton, V Parada
Expert Systems with Applications 141, 112908, 2020
132020
An iterated local search algorithm for the pollution traveling salesman problem
V Cacchiani, C Contreras-Bolton, JW Escobar, LM Escobar-Falcon, ...
New Trends in Emerging Complex Real Life Problems: ODS, Taormina, Italy …, 2018
112018
A multioperator genetic algorithm for the traveling salesman problem with job-times
P Gutiérrez-Aguirre, C Contreras-Bolton
Expert Systems with Applications 240, 122472, 2024
102024
A matheuristic algorithm for the pollution and energy minimization traveling salesman problems
V Cacchiani, C Contreras-Bolton, LM Escobar-Falcón, P Toth
International Transactions in Operational Research 30 (2), 655-687, 2023
92023
Automatically produced algorithms for the generalized minimum spanning tree problem
C Contreras-Bolton, C Rey, S Ramos-Cossio, C Rodríguez, F Gatica, ...
Scientific Programming 2016 (1), 1682925, 2016
92016
Automatic design of algorithms for optimization problems
C Contreras-Bolton, V Parada
2015 Latin America Congress on Computational Intelligence (LA-CCI), 1-5, 2015
92015
A web application for location and vehicle routing in disaster
G Gatica, C Contreras-Bolton, N Venegas, O Opazo, R Linfati, ...
Iteckne 14 (1), 62-69, 2017
8*2017
A Simheuristic for the Waste Collection Problem with Stochastic Demands in Smart Cities
A Gruler, AA Juan, C Fikar, P Hirsch, C Contreras-Bolton
Simulation in Production and Logistics 2015, 49-58, 2015
62015
Evolutionary optimization of electric power distribution using the dandelion code
J Sabattin, C Contreras-Bolton, M Arias, V Parada
Journal of Electrical and Computer Engineering 2012, 4, 2012
62012
A metaheuristic for the double traveling salesman problem with partial last‐in‐first‐out loading constraints
B Mardones, G Gatica, C Contreras‐Bolton
International Transactions in Operational Research 30 (6), 3904-3929, 2023
52023
An effective two‐level solution approach for the prize‐collecting generalized minimum spanning tree problem by iterated local search
C Contreras‐Bolton, V Parada
International Transactions in Operational Research 28 (3), 1190-1212, 2021
52021
A New Genotype-Phenotype Genetic Algorithm for the Two-Dimensional Strip Packing Problem with Rotation of 90°
G Gatica, G Villagrán, C Contreras-Bolton, R Linfati, JW Escobar
Ingenieria y Universidad 20 (1), 119-138, 2016
52016
Automatic generation of metaheuristic algorithms
S Iturra, C Contreras-Bolton, V Parada
Metaheuristics and Nature Inspired Computing, 48-58, 2022
42022
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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