Adriana Lara

32 papers A 1B 2C 2Journal 15Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tackling air quality with SAPIENS.
CoRR
Marcella Bona, Nathan Heatley, Jia-Chen Hua, Adriana Lara, Valeria Karina Legaria-Santiago, Alberto Luviano-Juárez, Fernando Moreno-Gomez, Jocelyn Richardson, Natan Vilchis, Xiwen Shirley Zheng
2025 J jnl
A Dataset for the Medical Support Vehicle Location-Allocation Problem.
Data
Miguel Medina-Perez, Giovanni Guzmán, Magdalena Saldaña Pérez, Adriana Lara, Miguel Torres Ruiz
2025 — conf
Riesz Energy-Based Hybrid Algorithms for Constrained Multi-Objective Optimization.
GECCO Companion
Lourdes Uribe, Yael Andrade-Ibarra, Adriana Lara
2024 J jnl
Routing and Scheduling in Multigraphs With Time Constraints - A Memetic Approach for Airport Ground Movement.
IEEE Trans. Evol. Comput.
Lilla Beke, Lourdes Uribe, Adriana Lara, Carlos Artemio Coello Coello, Michal Weiszer, Edmund K. Burke, Jun Chen
2024 — conf
Using Evolutionary Algorithms for the Search of 16-Variable Weight-Wise Perfectly Balanced Boolean Functions with High Non-linearity.
PPSN (4)
Sara Mandujano, Adriana Lara, Juan Carlos Ku-Cauich
2023 J jnl
Automatic Composition of Music Using a Genetic Algorithm, Emotional Musical Theory and Machine Learning.
Computación y Sistemas (CyS)
Adriana Lara, Giovanni Guzmán, Natan Vilchis
2023 J jnl
Optimizing Affordably Tree Seeding to Enhance Mexico City's Air Quality.
Res. Comput. Sci.
Fernando Moreno, Adriana Lara
2022 J jnl
Modelado del problema de composición musical polifónica automática como un problema de optimización biobjetivo.
Res. Comput. Sci.
Natan Vilchis, Adriana Lara
2022 — conf
Studying Special Operators for the Application of Evolutionary Algorithms in the Seek of Optimal Boolean Functions for Cryptography.
MICAI (1)
Sara Mandujano, Juan Carlos Ku-Cauich, Adriana Lara
2021 J jnl
A new gradient free local search mechanism for constrained multi-objective optimization problems.
Swarm Evol. Comput.
Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze
2021 J jnl
COMPOSAIN: Aplicación de un algoritmo genético para el diseño de contrapuntos musicales sin restricción de integridad de figuras.
Res. Comput. Sci.
Adriana Lara, Natan Vilchis-Tavera
2020 J jnl
A benchmark for equality constrained multi-objective optimization.
Swarm Evol. Comput.
Oliver Cuate, Lourdes Uribe, Adriana Lara, Oliver Schütze
2020 J jnl
On the efficient computation and use of multi-objective descent directions within constrained MOEAs.
Swarm Evol. Comput.
Lourdes Uribe, Adriana Lara, Oliver Schütze
2020 — conf
Using gradient-free local search within MOEAs for the treatment of constrained MOPs.
GECCO Companion
Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze
2019 C conf
A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems.
EMO
Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodríguez Sánchez, Oliver Schütze
2019 J jnl
On the choice of neighborhood sampling to build effective search operators for constrained MOPs.
Memetic Comput.
Adriana Lara, Lourdes Uribe, Sergio Alvarado, Víctor Adrián Sosa-Hernández, Honggang Wang, Oliver Schütze
2019 C conf
Toward a New Family of Hybrid Evolutionary Algorithms.
EMO
Lourdes Uribe, Oliver Schütze, Adriana Lara
2016 — conf
A local exploration tool for linear many objective optimization problems.
CCE
Oliver Cuate, Adriana Lara, Oliver Schütze
2016 — conf
An effective mutation operator to deal with multi-objective constrained problems: SPM.
CCE
Sergio Alvarado, Adriana Lara, Víctor Adrián Sosa-Hernández, Oliver Schütze
2016 J jnl
The directed search method for multi-objective memetic algorithms.
Comput. Optim. Appl.
Oliver Schütze, Adanay Martín, Adriana Lara, Sergio Alvarado, Eduardo Salinas, Carlos A. Coello Coello
2015 — conf
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.
NEO
Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze
2013 — ch.
On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms.
EVOLVE
Adriana Lara, Oliver Schütze, Carlos A. Coello Coello
2012 — conf
The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms.
EVOLVE
Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello, Oliver Schütze
2012 J jnl
Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello
2011 J jnl
On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem.
IEEE Trans. Evol. Comput.
Oliver Schütze, Adriana Lara, Carlos A. Coello Coello
2010 B conf
Computing approximate solutions of scalar optimization problems and applications in space mission design.
IEEE Congress on Evolutionary Computation
Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile
2010 J jnl
HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello, Oliver Schütze
2010 — conf
New challenges for memetic algorithms on continuous multi-objective problems.
GECCO (Companion)
Adriana Lara, Oliver Schütze, Carlos A. Coello Coello
2010 — conf
Some comments on GD and IGD and relations to the Hausdorff distance.
GECCO (Companion)
Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello
2010 — conf
Using gradient information for multi-objective problems in the evolutionary context.
GECCO (Companion)
Adriana Lara, Carlos A. Coello Coello, Oliver Schütze
2009 A conf
Evolutionary continuation methods for optimization problems.
GECCO
Oliver Schütze, Adriana Lara, Carlos A. Coello Coello
2009 B conf
Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Adriana Lara, Carlos A. Coello Coello, Oliver Schütze