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2020 – today
- 2024
[j12]Lilla Beke
, Lourdes Uribe, Adriana Lara, Carlos Artemio Coello Coello, Michal Weiszer, Edmund K. Burke, Jun Chen:
Routing and Scheduling in Multigraphs With Time Constraints - A Memetic Approach for Airport Ground Movement. IEEE Trans. Evol. Comput. 28(2): 474-488 (2024)- [c16]Sara Mandujano, Adriana Lara, Juan Carlos Ku-Cauich:
Using Evolutionary Algorithms for the Search of 16-Variable Weight-Wise Perfectly Balanced Boolean Functions with High Non-linearity. PPSN (4) 2024: 416-428 - 2023
- [j11]Adriana Lara, Giovanni Guzmán, Natan Vilchis:
Automatic Composition of Music Using a Genetic Algorithm, Emotional Musical Theory and Machine Learning. Computación y Sistemas (CyS) 27(2) (2023) - [j10]Fernando Moreno, Adriana Lara:
Optimizing Affordably Tree Seeding to Enhance Mexico City's Air Quality. Res. Comput. Sci. 152(12): 67-81 (2023) - 2022
- [j9]Natan Vilchis, Adriana Lara:
Modelado del problema de composición musical polifónica automática como un problema de optimización biobjetivo. Res. Comput. Sci. 151(8): 143-156 (2022) - [c15]Sara Mandujano, Juan Carlos Ku-Cauich, Adriana Lara:
Studying Special Operators for the Application of Evolutionary Algorithms in the Seek of Optimal Boolean Functions for Cryptography. MICAI (1) 2022: 383-396 - 2021
- [j8]Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze:
A new gradient free local search mechanism for constrained multi-objective optimization problems. Swarm Evol. Comput. 67: 100938 (2021) - 2020
- [j7]Oliver Cuate, Lourdes Uribe, Adriana Lara, Oliver Schütze:
A benchmark for equality constrained multi-objective optimization. Swarm Evol. Comput. 52 (2020) - [j6]Lourdes Uribe, Adriana Lara, Oliver Schütze:
On the efficient computation and use of multi-objective descent directions within constrained MOEAs. Swarm Evol. Comput. 52 (2020) - [c14]Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze:
Using gradient-free local search within MOEAs for the treatment of constrained MOPs. GECCO Companion 2020: 177-178
2010 – 2019
- 2019
- [j5]Adriana Lara, Lourdes Uribe, Sergio Alvarado, Víctor Adrián Sosa-Hernández, Honggang Wang, Oliver Schütze:
On the choice of neighborhood sampling to build effective search operators for constrained MOPs. Memetic Comput. 11(2): 155-173 (2019) - [c13]Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodríguez Sánchez, Oliver Schütze:
A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems. EMO 2019: 53-65 - [c12]Lourdes Uribe, Oliver Schütze, Adriana Lara:
Toward a New Family of Hybrid Evolutionary Algorithms. EMO 2019: 78-90 - 2016
- [j4]Oliver Schütze, Adanay Martín, Adriana Lara, Sergio Alvarado, Eduardo Salinas, Carlos A. Coello Coello:
The directed search method for multi-objective memetic algorithms. Comput. Optim. Appl. 63(2): 305-332 (2016) - [c11]Sergio Alvarado, Adriana Lara, Víctor Adrián Sosa-Hernández, Oliver Schütze:
An effective mutation operator to deal with multi-objective constrained problems: SPM. CCE 2016: 1-6 - [c10]Oliver Cuate, Adriana Lara, Oliver Schütze:
A local exploration tool for linear many objective optimization problems. CCE 2016: 1-6 - 2015
- [c9]Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze:
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. NEO 2015: 281-330 - 2013
- [p1]Adriana Lara, Oliver Schütze, Carlos A. Coello Coello:
On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms. EVOLVE 2013: 305-332 - 2012
- [j3]Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello:
Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 16(4): 504-522 (2012) - [c8]Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello, Oliver Schütze:
The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms. EVOLVE 2012: 153-168 - 2011
- [j2]Oliver Schütze, Adriana Lara, Carlos A. Coello Coello:
On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem. IEEE Trans. Evol. Comput. 15(4): 444-455 (2011) - 2010
- [j1]Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello, Oliver Schütze:
HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 14(1): 112-132 (2010) - [c7]Adriana Lara Lopez, Carlos A. Coello Coello, Oliver Schütze:
A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c6]Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile:
Computing approximate solutions of scalar optimization problems and applications in space mission design. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c5]Adriana Lara, Oliver Schütze, Carlos A. Coello Coello:
New challenges for memetic algorithms on continuous multi-objective problems. GECCO (Companion) 2010: 1967-1970 - [c4]Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello:
Some comments on GD and IGD and relations to the Hausdorff distance. GECCO (Companion) 2010: 1971-1974 - [c3]Adriana Lara, Carlos A. Coello Coello, Oliver Schütze:
Using gradient information for multi-objective problems in the evolutionary context. GECCO (Companion) 2010: 2011-2014
2000 – 2009
- 2009
- [c2]Adriana Lara, Carlos A. Coello Coello, Oliver Schütze:
Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2009: 16-23 - [c1]Oliver Schütze, Adriana Lara, Carlos A. Coello Coello:
Evolutionary continuation methods for optimization problems. GECCO 2009: 651-658
Coauthor Index
aka: Carlos Artemio Coello Coello
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